From 1ba67c0f292067feeea68fa32e2a16d1b525f86e Mon Sep 17 00:00:00 2001 From: Giovanni Charles Date: Mon, 15 Aug 2022 14:30:14 +0100 Subject: [PATCH 01/32] Documentation updates --- R/biting_process.R | 60 ++++++++++++++---------- R/model.R | 55 +++++++++++++++------- R/processes.R | 29 +++++++----- man/CorrelationParameters.Rd | 36 +++++++------- man/run_metapop_simulation.Rd | 17 +++++-- tests/testthat/test-biting-integration.R | 4 +- tests/testthat/test-simulation-e2e.R | 2 +- 7 files changed, 122 insertions(+), 81 deletions(-) diff --git a/R/biting_process.R b/R/biting_process.R index ec09620d..ec7bc33a 100644 --- a/R/biting_process.R +++ b/R/biting_process.R @@ -11,23 +11,25 @@ #' @param lagged_infectivity a list of LaggedValue objects with historical sums #' of infectivity, one for every metapopulation #' @param lagged_eir a LaggedValue class with historical EIRs +#' @param mixing_tt a vector of timesteps for each mixing vector #' @param mixing a vector of mixing coefficients for the lagged_infectivity #' values (default: 1) #' @param mixing_index an index for this population's position in the #' lagged_infectivity list (default: 1) #' @noRd create_biting_process <- function( - renderer, - solvers, - models, - variables, - events, - parameters, - lagged_infectivity, - lagged_eir, - mixing = 1, - mixing_index = 1 -) { + renderer, + solvers, + models, + variables, + events, + parameters, + lagged_infectivity, + lagged_eir, + mixing_tt = 0, + mixing = 1, + mixing_index = 1 + ) { function(timestep) { # Calculate combined EIR age <- get_age(variables$birth$get_values(), timestep) @@ -43,6 +45,7 @@ create_biting_process <- function( timestep, lagged_infectivity, lagged_eir, + mixing_tt, mixing, mixing_index ) @@ -61,19 +64,20 @@ create_biting_process <- function( #' @importFrom stats rpois simulate_bites <- function( - renderer, - solvers, - models, - variables, - events, - age, - parameters, - timestep, - lagged_infectivity, - lagged_eir, - mixing = 1, - mixing_index = 1 -) { + renderer, + solvers, + models, + variables, + events, + age, + parameters, + timestep, + lagged_infectivity, + lagged_eir, + mixing_tt = 0, + mixing = 1, + mixing_index = 1 + ) { bitten_humans <- individual::Bitset$new(parameters$human_population) human_infectivity <- variables$infectivity$get_values() @@ -136,7 +140,7 @@ simulate_bites <- function( vnapply( lagged_eir, function(l) l[[s_i]]$get(timestep - parameters$de) - ) * mixing + ) * mixing[[match_timestep(mixing_tt, timestep)]] ) renderer$render(paste0('EIR_', species_name), species_eir, timestep) @@ -159,7 +163,11 @@ simulate_bites <- function( sum(human_infectivity * .pi), timestep ) - foim <- calculate_foim(a, infectivity, mixing) + foim <- calculate_foim( + a, + infectivity, + mixing[[match_timestep(mixing_tt, timestep)]] + ) renderer$render(paste0('FOIM_', species_name), foim, timestep) mu <- death_rate(f, W, Z, s_i, parameters) renderer$render(paste0('mu_', species_name), mu, timestep) diff --git a/R/model.R b/R/model.R index 48af9af9..8fc87170 100644 --- a/R/model.R +++ b/R/model.R @@ -130,30 +130,48 @@ run_simulation <- function( #' @param parameters a list of model parameter lists for each population #' @param correlations a list of correlation parameters for each population #' (default: NULL) -#' @param mixing matrix of mixing coefficients for infectivity towards -#' mosquitoes. Rows = origin sites, columns = destinations. Each element must -#' be between 0 and 1 and all rows must sum to 1. +#' @param mixing_tt a vector of time steps for each mixing matrix +#' @param mixing a list of matrices of mixing coefficients for infectivity towards +#' mosquitoes. Rows = origin sites, columns = destinations. Each matrix element must +#' be between 0 and 1 and all rows must sum to 1. Each matrix is activated at +#' the corresponding timestep in mixing_tt #' @return a list of dataframe of results #' @export run_metapop_simulation <- function( - timesteps, - parameters, - correlations = NULL, - mixing -) { + timesteps, + parameters, + correlations = NULL, + mixing_tt, + mixing + ) { random_seed(ceiling(runif(1) * .Machine$integer.max)) - if (nrow(mixing) != ncol(mixing)) { - stop('mixing matrix must be square') + if (!is.list(mixing)) { + stop('mixing must be a list of mixing matrices') } - if (nrow(mixing) != length(parameters)) { - stop('mixing matrix rows must match length of parameters') + + for (i in seq_along(mixing)) { + if (nrow(mixing[[i]]) != ncol(mixing[[i]])) { + stop(sprintf('mixing matrix %d must be square', i)) + } + if (nrow(mixing[[i]]) != length(parameters)) { + stop(sprintf("mixing matrix %d's rows must match length of parameters", i)) + } + if (!all(vlapply(seq_along(parameters), function(x) approx_sum(mixing[[i]][x,], 1)))) { + stop(sprintf("all of mixing matrix %d's rows must sum to 1", i)) + } + if (!all(vlapply(seq_along(parameters), function(x) approx_sum(mixing[[i]][,x], 1)))) { + warning(sprintf('mixing matrix %d is asymmetrical', i)) + } } - if (!all(vlapply(seq_along(parameters), function(x) approx_sum(mixing[x,], 1)))) { - stop('all mixing matrix rows must sum to 1') + + if (!is.numeric(mixing_tt)) { + stop('mixing_tt must be numeric') } - if (!all(vlapply(seq_along(parameters), function(x) approx_sum(mixing[,x], 1)))) { - warning('mixing matrix is asymmetrical') + if (length(mixing_tt) != length(mixing)) { + stop('mixing_tt must be the same size as mixing') } + + if (is.null(correlations)) { correlations <- lapply(parameters, get_correlation_parameters) } @@ -206,7 +224,8 @@ run_metapop_simulation <- function( correlations[[i]], lagged_eir, lagged_infectivity, - mixing[i,], + mixing_tt, + lapply(mixing, function(m) m[i,]), i ) } @@ -248,4 +267,4 @@ run_simulation_with_repetitions <- function( } ) do.call("rbind", dfs) -} \ No newline at end of file +} diff --git a/R/processes.R b/R/processes.R index 6109490f..38f323ff 100644 --- a/R/processes.R +++ b/R/processes.R @@ -14,24 +14,26 @@ #' population and species in the simulation #' @param lagged_infectivity a list of LaggedValue objects for FOIM for each population #' in the simulation -#' @param mixing a vector of mixing coefficients for the lagged transmission +#' @param mixing_tt a vector of timesteps for each mixing vector +#' @param mixing a list of vectors of mixing coefficients for the lagged transmission #' values (default: 1) #' @param mixing_index an index for this population's position in the #' lagged transmission lists (default: 1) #' @noRd create_processes <- function( - renderer, - variables, - events, - parameters, - models, - solvers, - correlations, - lagged_eir, - lagged_infectivity, - mixing = 1, - mixing_index = 1 -) { + renderer, + variables, + events, + parameters, + models, + solvers, + correlations, + lagged_eir, + lagged_infectivity, + mixing_tt = 0, + mixing = 1, + mixing_index = 1 + ) { # ======== # Immunity # ======== @@ -77,6 +79,7 @@ create_processes <- function( parameters, lagged_infectivity, lagged_eir, + mixing_tt, mixing, mixing_index ), diff --git a/man/CorrelationParameters.Rd b/man/CorrelationParameters.Rd index c2e6ada7..b1d22578 100644 --- a/man/CorrelationParameters.Rd +++ b/man/CorrelationParameters.Rd @@ -14,17 +14,17 @@ Describes an event in the simulation \section{Methods}{ \subsection{Public methods}{ \itemize{ -\item \href{#method-CorrelationParameters-new}{\code{CorrelationParameters$new()}} -\item \href{#method-CorrelationParameters-inter_round_rho}{\code{CorrelationParameters$inter_round_rho()}} -\item \href{#method-CorrelationParameters-inter_intervention_rho}{\code{CorrelationParameters$inter_intervention_rho()}} -\item \href{#method-CorrelationParameters-sigma}{\code{CorrelationParameters$sigma()}} -\item \href{#method-CorrelationParameters-mvnorm}{\code{CorrelationParameters$mvnorm()}} -\item \href{#method-CorrelationParameters-clone}{\code{CorrelationParameters$clone()}} +\item \href{#method-new}{\code{CorrelationParameters$new()}} +\item \href{#method-inter_round_rho}{\code{CorrelationParameters$inter_round_rho()}} +\item \href{#method-inter_intervention_rho}{\code{CorrelationParameters$inter_intervention_rho()}} +\item \href{#method-sigma}{\code{CorrelationParameters$sigma()}} +\item \href{#method-mvnorm}{\code{CorrelationParameters$mvnorm()}} +\item \href{#method-clone}{\code{CorrelationParameters$clone()}} } } \if{html}{\out{
}} -\if{html}{\out{}} -\if{latex}{\out{\hypertarget{method-CorrelationParameters-new}{}}} +\if{html}{\out{}} +\if{latex}{\out{\hypertarget{method-new}{}}} \subsection{Method \code{new()}}{ initialise correlation parameters \subsection{Usage}{ @@ -40,8 +40,8 @@ initialise correlation parameters } } \if{html}{\out{
}} -\if{html}{\out{}} -\if{latex}{\out{\hypertarget{method-CorrelationParameters-inter_round_rho}{}}} +\if{html}{\out{}} +\if{latex}{\out{\hypertarget{method-inter_round_rho}{}}} \subsection{Method \code{inter_round_rho()}}{ Add rho between rounds \subsection{Usage}{ @@ -60,8 +60,8 @@ the intervention} } } \if{html}{\out{
}} -\if{html}{\out{}} -\if{latex}{\out{\hypertarget{method-CorrelationParameters-inter_intervention_rho}{}}} +\if{html}{\out{}} +\if{latex}{\out{\hypertarget{method-inter_intervention_rho}{}}} \subsection{Method \code{inter_intervention_rho()}}{ Add rho between interventions \subsection{Usage}{ @@ -83,8 +83,8 @@ the intervention} } } \if{html}{\out{
}} -\if{html}{\out{}} -\if{latex}{\out{\hypertarget{method-CorrelationParameters-sigma}{}}} +\if{html}{\out{}} +\if{latex}{\out{\hypertarget{method-sigma}{}}} \subsection{Method \code{sigma()}}{ Standard deviation of each intervention between rounds \subsection{Usage}{ @@ -93,8 +93,8 @@ Standard deviation of each intervention between rounds } \if{html}{\out{
}} -\if{html}{\out{}} -\if{latex}{\out{\hypertarget{method-CorrelationParameters-mvnorm}{}}} +\if{html}{\out{}} +\if{latex}{\out{\hypertarget{method-mvnorm}{}}} \subsection{Method \code{mvnorm()}}{ multivariate norm draws for these parameters \subsection{Usage}{ @@ -103,8 +103,8 @@ multivariate norm draws for these parameters } \if{html}{\out{
}} -\if{html}{\out{}} -\if{latex}{\out{\hypertarget{method-CorrelationParameters-clone}{}}} +\if{html}{\out{}} +\if{latex}{\out{\hypertarget{method-clone}{}}} \subsection{Method \code{clone()}}{ The objects of this class are cloneable with this method. \subsection{Usage}{ diff --git a/man/run_metapop_simulation.Rd b/man/run_metapop_simulation.Rd index 0a670c34..c352de0a 100644 --- a/man/run_metapop_simulation.Rd +++ b/man/run_metapop_simulation.Rd @@ -4,7 +4,13 @@ \alias{run_metapop_simulation} \title{Run a metapopulation model} \usage{ -run_metapop_simulation(timesteps, parameters, correlations = NULL, mixing) +run_metapop_simulation( + timesteps, + parameters, + correlations = NULL, + mixing_tt, + mixing +) } \arguments{ \item{timesteps}{the number of timesteps to run the simulation for (in days)} @@ -14,9 +20,12 @@ run_metapop_simulation(timesteps, parameters, correlations = NULL, mixing) \item{correlations}{a list of correlation parameters for each population (default: NULL)} -\item{mixing}{matrix of mixing coefficients for infectivity towards -mosquitoes. Rows = origin sites, columns = destinations. Each element must -be between 0 and 1 and all rows must sum to 1.} +\item{mixing_tt}{a vector of time steps for each mixing matrix} + +\item{mixing}{a list of matrices of mixing coefficients for infectivity towards +mosquitoes. Rows = origin sites, columns = destinations. Each matrix element must +be between 0 and 1 and all rows must sum to 1. Each matrix is activated at +the corresponding timestep in mixing_tt} } \value{ a list of dataframe of results diff --git a/tests/testthat/test-biting-integration.R b/tests/testthat/test-biting-integration.R index 66bf5b72..a75d79a4 100644 --- a/tests/testthat/test-biting-integration.R +++ b/tests/testthat/test-biting-integration.R @@ -46,6 +46,7 @@ test_that('biting_process integrates mosquito effects and human infection', { timestep, lagged_foim, lagged_eir, + 0, 1, 1 ) @@ -178,7 +179,8 @@ test_that('simulate_bites works with mixed populations', { timestep, lagged_foim, lagged_eir, - c(0.2, 0.8), + 1, + list(c(0.2, 0.8)), 2 ) diff --git a/tests/testthat/test-simulation-e2e.R b/tests/testthat/test-simulation-e2e.R index 0e7f7a6c..48c17b30 100644 --- a/tests/testthat/test-simulation-e2e.R +++ b/tests/testthat/test-simulation-e2e.R @@ -22,7 +22,7 @@ test_that('run_metapop_simulation integrates two models correctly', { parametersets <- list(parameters, parameters) mixing <- diag(1, nrow = 2, ncol = 2) - outputs <- run_metapop_simulation(timesteps, parametersets, NULL, mixing) + outputs <- run_metapop_simulation(timesteps, parametersets, NULL, 1, list(mixing)) expect_equal(length(outputs), 2) expect_equal(nrow(outputs[[1]]), 5) expect_equal(nrow(outputs[[2]]), 5) From 08b1f6236af7502f0d08cc0adecf990f98ff6b2f Mon Sep 17 00:00:00 2001 From: Hillary Topazian <80535782+htopazian@users.noreply.github.com> Date: Fri, 26 Aug 2022 15:21:42 +0100 Subject: [PATCH 02/32] mixing matrix row sums == 1 error -> warning --- R/model.R | 14 +++++++------- 1 file changed, 7 insertions(+), 7 deletions(-) diff --git a/R/model.R b/R/model.R index 8fc87170..3713b6d9 100644 --- a/R/model.R +++ b/R/model.R @@ -11,7 +11,7 @@ #' * infectivity: the infectivity from humans towards mosquitoes #' * FOIM: the force of infection towards mosquitoes (per species) #' * mu: the death rate of adult mosquitoes (per species) -#' * EIR: the Entomological Inoculation Rate (per timestep, per species, over +#' * EIR: the Entomological Inoculation Rate (per timestep, per species, over #' the whole population) #' * n_bitten: number of humans bitten by an infectious mosquito #' * n_treated: number of humans treated for clinical or severe malaria this timestep @@ -45,10 +45,10 @@ #' * p_inc: sum of probabilities of infection for humans between an inclusive age range at this timestep. #' incidence columns can be set with #' incidence_rendering_min_ages and incidence_rendering_max_ages parameters. -#' * n_inc_clinical: number of new clinical infections for humans between an inclusive age range at this timestep. +#' * n_inc_clinical: number of new clinical infections for humans between an inclusive age range at this timestep. #' clinical incidence columns can be set with #' clinical_incidence_rendering_min_ages and clinical_incidence_rendering_max_ages parameters. -#' * p_inc_clinical: sub of probabilities of clinical infection for humans between an inclusive age range at this timestep. +#' * p_inc_clinical: sub of probabilities of clinical infection for humans between an inclusive age range at this timestep. #' clinical incidence columns can be set with #' clinical_incidence_rendering_min_ages and clinical_incidence_rendering_max_ages parameters. #' * n_inc_severe: number of new severe infections for humans between an inclusive age range at this timestep. @@ -132,7 +132,7 @@ run_simulation <- function( #' (default: NULL) #' @param mixing_tt a vector of time steps for each mixing matrix #' @param mixing a list of matrices of mixing coefficients for infectivity towards -#' mosquitoes. Rows = origin sites, columns = destinations. Each matrix element must +#' mosquitoes. Rows = origin sites, columns = destinations. Each matrix element must #' be between 0 and 1 and all rows must sum to 1. Each matrix is activated at #' the corresponding timestep in mixing_tt #' @return a list of dataframe of results @@ -157,7 +157,7 @@ run_metapop_simulation <- function( stop(sprintf("mixing matrix %d's rows must match length of parameters", i)) } if (!all(vlapply(seq_along(parameters), function(x) approx_sum(mixing[[i]][x,], 1)))) { - stop(sprintf("all of mixing matrix %d's rows must sum to 1", i)) + warning(sprintf("all of mixing matrix %d's rows must sum to 1", i)) } if (!all(vlapply(seq_along(parameters), function(x) approx_sum(mixing[[i]][,x], 1)))) { warning(sprintf('mixing matrix %d is asymmetrical', i)) @@ -171,7 +171,7 @@ run_metapop_simulation <- function( stop('mixing_tt must be the same size as mixing') } - + if (is.null(correlations)) { correlations <- lapply(parameters, get_correlation_parameters) } @@ -236,7 +236,7 @@ run_metapop_simulation <- function( events = unlist(events), timesteps = timesteps ) - + lapply(renderer, function(r) r$to_dataframe()) } From c5a7becf08a24d8839638713b613e25813693496 Mon Sep 17 00:00:00 2001 From: Giovanni Charles Date: Mon, 3 Oct 2022 11:42:14 +0100 Subject: [PATCH 03/32] Reduce mixed transmission with testing * Add rdt testing parameters * Update biting_process to consider rdt testing for mixing --- R/biting_process.R | 77 +++++++++++++++++++----- R/parameters.R | 13 ++++ tests/testthat/test-biting-integration.R | 60 ++++++++++++++++++ 3 files changed, 135 insertions(+), 15 deletions(-) diff --git a/R/biting_process.R b/R/biting_process.R index ec7bc33a..78650944 100644 --- a/R/biting_process.R +++ b/R/biting_process.R @@ -115,7 +115,11 @@ simulate_bites <- function( f <- blood_meal_rate(s_i, Z, parameters) a <- .human_blood_meal_rate(f, s_i, W, parameters) lambda <- effective_biting_rates(a, .pi, p_bitten) - + + # calculate rdt coefficient to calculate the proportion of mixed + # transmission to include + rdt_negative <- 1 - rdt_detectable(variables, parameters, timestep) + if (parameters$individual_mosquitoes) { species_index <- variables$species$get_index_of( parameters$species[[s_i]] @@ -133,13 +137,22 @@ simulate_bites <- function( } # store the current population's EIR for later - lagged_eir[[mixing_index]][[s_i]]$save(n_infectious * a, timestep) - + lagged_eir[[mixing_index]][[s_i]]$save( + n_infectious * a, + timestep + ) + # calculated the EIR for this timestep after mixing species_eir <- sum( vnapply( - lagged_eir, - function(l) l[[s_i]]$get(timestep - parameters$de) + seq_along(lagged_eir), + function(i) { + e <- lagged_eir[[i]][[s_i]]$get(timestep - parameters$de) + if (parameters$mixing_rdt && i != mixing_index) { + return(e * rdt_negative) + } + return(e) + } ) * mixing[[match_timestep(mixing_tt, timestep)]] ) @@ -156,9 +169,16 @@ simulate_bites <- function( } infectivity <- vnapply( - lagged_infectivity, - function(l) l$get(timestep - parameters$delay_gam) + seq_along(lagged_infectivity), + function(i) { + inf <- lagged_infectivity[[i]]$get(timestep - parameters$delay_gam) + if (parameters$mixing_rdt && i != mixing_index) { + return(inf * rdt_negative) + } + return(inf) + } ) + lagged_infectivity[[mixing_index]]$save( sum(human_infectivity * .pi), timestep @@ -247,14 +267,13 @@ calculate_infectious <- function(species, solvers, variables, parameters) { } calculate_infectious_individual <- function( - species, - variables, - infectious_index, - adult_index, - species_index, - parameters -) { - + species, + variables, + infectious_index, + adult_index, + species_index, + parameters + ) { infectious_index$copy()$and(species_index)$size() } @@ -317,3 +336,31 @@ unique_biting_rate <- function(age, parameters) { calculate_foim <- function(a, infectivity_sum, mixing) { a * sum(infectivity_sum * mixing) } + +# Estimates RDT prevalence from miscroscopy prevalence, +# Wu et al 2015 Nature paper +rdt_detectable <- function(variables, parameters, timestep) { + microscopy_prev <- calculate_detected( + variables$state, + variables$birth, + variables$id, + parameters, + timestep + )$size() / parameters$human_population + logit_prev <- log(microscopy_prev / (1 - microscopy_prev)) + logit_rdt <- parameters$rdt_intercept + parameters$rdt_coeff * logit_prev + exp(logit_rdt) / (1 + exp(logit_rdt)) +} + +# return proportion of individuals detectable by microscopy +calculate_detected <- function(state, birth, immunity, parameters, timestep) { + asymptomatic <- state$get_index_of('A') + prob <- probability_of_detection( + get_age(birth$get_values(asymptomatic), timestep), + immunity$get_values(asymptomatic), + parameters + ) + asymptomatic_detected <- bitset_at(asymptomatic, bernoulli_multi_p(prob)) + clinically_detected <- state$get_index_of(c('Tr', 'D')) + clinically_detected$or(asymptomatic_detected) +} diff --git a/R/parameters.R b/R/parameters.R index 8a96989a..a1ce65ac 100644 --- a/R/parameters.R +++ b/R/parameters.R @@ -208,6 +208,15 @@ #' outputs; default = turned off #' * severe_incidence_rendering_max_ages - the corresponding max ages; default = turned off #' +#' mixing: +#' +#' * mixing_rdt - boolean for whether mixing transmission should only consider +#' individuals who would not be detected by an RDT test; default = FALSE +#' * rdt_intercept - the y intercept for the log logit relationship betweeen rdt +#' and microscopy prevalence; default = 0.108 +#' * rdt_coeff - the coefficient for the log logit relationship betweeen rdt +#' and microscopy prevalence; default = 0.907 +#' #' miscellaneous: #' #' * human_population - the initial number of humans to model; default = 100 @@ -394,6 +403,10 @@ get_parameters <- function(overrides = list()) { severe_incidence_rendering_max_ages = numeric(0), age_group_rendering_min_ages = numeric(0), age_group_rendering_max_ages = numeric(0), + # mixing + mixing_rdt = FALSE, + rdt_intercept = 0.108, + rdt_coeff = 0.907, # misc custom_demography = FALSE, human_population = 100, diff --git a/tests/testthat/test-biting-integration.R b/tests/testthat/test-biting-integration.R index a75d79a4..0dc7e4b8 100644 --- a/tests/testthat/test-biting-integration.R +++ b/tests/testthat/test-biting-integration.R @@ -186,3 +186,63 @@ test_that('simulate_bites works with mixed populations', { mockery::expect_args(mock_foim, 1, .3, c(.001, .01), c(.2, .8)) }) + +test_that('simulate_bites can halve the mixed transmission for 50% rdt detection', { + population <- 4 + timestep <- 5 + renderer <- individual::Render$new(5) + parameters <- get_parameters( + list(human_population = population, mixing_rdt = TRUE) + ) + events <- create_events(parameters) + variables <- create_variables(parameters) + + mock_rdt <- mockery::mock(.5) # 50% + mock_foim <- mockery::mock(1) + mock_pois <- mockery::mock(.3) + mock_a <- mockery::mock(.3) + mock_psi <- mockery::mock(rep(1, 4)) + + mockery::stub(simulate_bites, 'rdt_detectable', mock_rdt) + mockery::stub(simulate_bites, 'calculate_foim', mock_foim) + mockery::stub(simulate_bites, 'rpois', mock_pois) + mockery::stub(simulate_bites, '.human_blood_meal_rate', mock_a) + mockery::stub(simulate_bites, 'unique_biting_rate', mock_psi) + models <- parameterise_mosquito_models(parameters) + solvers <- parameterise_solvers(models, parameters) + lagged_foim <- list(LaggedValue$new(12.5, .001), LaggedValue$new(12.5, .01)) + lagged_eir <- list(list(LaggedValue$new(12, 10)), list(LaggedValue$new(12, 10))) + age <- c(20, 24, 5, 39) * 365 + bitten <- simulate_bites( + renderer, + solvers, + models, + variables, + events, + age, + parameters, + timestep, + lagged_foim, + lagged_eir, + c(0.2, 0.8), + 2 + ) + + mockery::expect_args(mock_foim, 1, .3, c(.0005, .01), c(.2, .8)) + mockery::expect_args(mock_pois, 1, 1, 9) # = 10 * .2 * .5 + 10 * .8 +}) + +test_that('rdt_detectable adjusts correctly with identity parameters', { + population <- 4 + parameters <- get_parameters( + list(human_population = population, rdt_intercept = 0, rdt_coeff = 1) + ) + variables <- create_variables(parameters) + + mock_detected <- mockery::mock(individual::Bitset$new(4)$insert(c(1, 2))) # 50% + + mockery::stub(rdt_detectable, 'calculate_detected', mock_detected) + rdt_prev <- rdt_detectable(variables, parameters, 1) + + expect_equal(rdt_prev, 0.5) +}) From 4e14e5056d26d84e984c24e06dca928f657a973d Mon Sep 17 00:00:00 2001 From: Hillary Topazian <80535782+htopazian@users.noreply.github.com> Date: Wed, 5 Oct 2022 10:13:46 +0100 Subject: [PATCH 04/32] rebase rdt_mixing to time_varying_metapop - updating metapop vignette - clarifying row & col meanings --- R/model.R | 6 +- man/get_parameters.Rd | 10 + man/run_metapop_simulation.Rd | 6 +- src-i386/Makevars | 2 + src-i386/Random.cpp | 131 ++++++++++ src-i386/Random.h | 65 +++++ src-i386/Random.o | Bin 0 -> 1078027 bytes src-i386/RcppExports.cpp | 290 +++++++++++++++++++++++ src-i386/RcppExports.o | Bin 0 -> 4156720 bytes src-i386/adult_mosquito_eqs.cpp | 109 +++++++++ src-i386/adult_mosquito_eqs.h | 41 ++++ src-i386/adult_mosquito_eqs.o | Bin 0 -> 791393 bytes src-i386/aquatic_mosquito_eqs.cpp | 151 ++++++++++++ src-i386/aquatic_mosquito_eqs.h | 86 +++++++ src-i386/aquatic_mosquito_eqs.o | Bin 0 -> 638074 bytes src-i386/history.cpp | 72 ++++++ src-i386/history.h | 28 +++ src-i386/history.o | Bin 0 -> 578721 bytes src-i386/malariasimulation_types.h | 17 ++ src-i386/mosquito_biology.cpp | 54 +++++ src-i386/mosquito_biology.h | 34 +++ src-i386/mosquito_biology.o | Bin 0 -> 24500 bytes src-i386/solver.cpp | 53 +++++ src-i386/solver.h | 84 +++++++ src-i386/solver.o | Bin 0 -> 1620023 bytes src-i386/test-random.cpp | 50 ++++ src-i386/test-random.o | Bin 0 -> 1282996 bytes src-i386/test-runner.cpp | 8 + src-i386/test-runner.o | Bin 0 -> 7654712 bytes src-i386/test_history.cpp | 47 ++++ src-i386/test_history.o | Bin 0 -> 177414 bytes src-i386/utils.cpp | 49 ++++ src-i386/utils.o | Bin 0 -> 3518277 bytes tests/testthat/test-biting-integration.R | 3 +- vignettes/Metapopulation.Rmd | 3 +- 35 files changed, 1391 insertions(+), 8 deletions(-) create mode 100644 src-i386/Makevars create mode 100644 src-i386/Random.cpp create mode 100644 src-i386/Random.h create mode 100644 src-i386/Random.o create mode 100644 src-i386/RcppExports.cpp create mode 100644 src-i386/RcppExports.o create mode 100644 src-i386/adult_mosquito_eqs.cpp create mode 100644 src-i386/adult_mosquito_eqs.h create mode 100644 src-i386/adult_mosquito_eqs.o create mode 100644 src-i386/aquatic_mosquito_eqs.cpp create mode 100644 src-i386/aquatic_mosquito_eqs.h create mode 100644 src-i386/aquatic_mosquito_eqs.o create mode 100644 src-i386/history.cpp create mode 100644 src-i386/history.h create mode 100644 src-i386/history.o create mode 100644 src-i386/malariasimulation_types.h create mode 100644 src-i386/mosquito_biology.cpp create mode 100644 src-i386/mosquito_biology.h create mode 100644 src-i386/mosquito_biology.o create mode 100644 src-i386/solver.cpp create mode 100644 src-i386/solver.h create mode 100644 src-i386/solver.o create mode 100644 src-i386/test-random.cpp create mode 100644 src-i386/test-random.o create mode 100644 src-i386/test-runner.cpp create mode 100644 src-i386/test-runner.o create mode 100644 src-i386/test_history.cpp create mode 100644 src-i386/test_history.o create mode 100644 src-i386/utils.cpp create mode 100644 src-i386/utils.o diff --git a/R/model.R b/R/model.R index 3713b6d9..a23f9ad4 100644 --- a/R/model.R +++ b/R/model.R @@ -132,9 +132,9 @@ run_simulation <- function( #' (default: NULL) #' @param mixing_tt a vector of time steps for each mixing matrix #' @param mixing a list of matrices of mixing coefficients for infectivity towards -#' mosquitoes. Rows = origin sites, columns = destinations. Each matrix element must -#' be between 0 and 1 and all rows must sum to 1. Each matrix is activated at -#' the corresponding timestep in mixing_tt +#' mosquitoes. Rows = origin sites, columns = destinations. Each matrix element +#' describes the mixing pattern from destination to origin. Each matrix element must +#' be between 0 and 1. Each matrix is activated at the corresponding timestep in mixing_tt #' @return a list of dataframe of results #' @export run_metapop_simulation <- function( diff --git a/man/get_parameters.Rd b/man/get_parameters.Rd index 54188c01..eceb4452 100644 --- a/man/get_parameters.Rd +++ b/man/get_parameters.Rd @@ -230,6 +230,16 @@ outputs; default = turned off \item severe_incidence_rendering_max_ages - the corresponding max ages; default = turned off } +mixing: +\itemize{ +\item mixing_rdt - boolean for whether mixing transmission should only consider +individuals who would not be detected by an RDT test; default = FALSE +\item rdt_intercept - the y intercept for the log logit relationship betweeen rdt +and microscopy prevalence; default = 0.108 +\item rdt_coeff - the coefficient for the log logit relationship betweeen rdt +and microscopy prevalence; default = 0.907 +} + miscellaneous: \itemize{ \item human_population - the initial number of humans to model; default = 100 diff --git a/man/run_metapop_simulation.Rd b/man/run_metapop_simulation.Rd index c352de0a..468043bf 100644 --- a/man/run_metapop_simulation.Rd +++ b/man/run_metapop_simulation.Rd @@ -23,9 +23,9 @@ run_metapop_simulation( \item{mixing_tt}{a vector of time steps for each mixing matrix} \item{mixing}{a list of matrices of mixing coefficients for infectivity towards -mosquitoes. Rows = origin sites, columns = destinations. Each matrix element must -be between 0 and 1 and all rows must sum to 1. Each matrix is activated at -the corresponding timestep in mixing_tt} +mosquitoes. Rows = origin sites, columns = destinations. Each matrix element +describes the mixing pattern from destination to origin. Each matrix element must +be between 0 and 1. Each matrix is activated at the corresponding timestep in mixing_tt} } \value{ a list of dataframe of results diff --git a/src-i386/Makevars b/src-i386/Makevars new file mode 100644 index 00000000..78316f85 --- /dev/null +++ b/src-i386/Makevars @@ -0,0 +1,2 @@ +CXX_STD = CXX14 +PKG_CXXFLAGS = -I../inst/include/ diff --git a/src-i386/Random.cpp b/src-i386/Random.cpp new file mode 100644 index 00000000..fad22963 --- /dev/null +++ b/src-i386/Random.cpp @@ -0,0 +1,131 @@ +// -*- mode: C++; c-indent-level: 4; c-basic-offset: 4; indent-tabs-mode: nil; -*- +/* + * Random.cpp + * + * Created on: 6 Aug 2020 + * Author: gc1610 + */ + +#include "Random.h" +#include + +void Random::seed(size_t seed) { + rng = dqrng::generator(seed); +} + +std::vector Random::bernoulli(size_t size, double p) { + auto successes = R::rbinom(size, p); + return sample(size, successes, false); +} + +std::vector Random::bernoulli_multi_p(const std::vector p) { + auto successes = std::vector(); + Rcpp::NumericVector r = Rcpp::runif(p.size()); + for (auto i = 0u; i < p.size(); ++i) { + if (r[i] < p[i]) { + successes.push_back(i); + } + } + return successes; +} + +std::vector Random::sample(size_t n, size_t size, bool replacement) { + // probs one_based + Rcpp::IntegerVector res = Rcpp::sample(n, size, replacement, R_NilValue, false); + return Rcpp::as>(res); +} + +void Random::prop_sample_bucket( + size_t size, + std::vector probs, + int* result + ) { + auto n = probs.size(); + auto total = std::accumulate( + probs.begin(), + probs.end(), + 0. + ); + + // create alias table + auto dividing_probs = probs; + auto alternative_index = std::vector(n); + + auto bucket_weight = total / n; + + // get first heavy + auto heavy = 0u; + while (heavy < n && probs[heavy] <= bucket_weight) + ++heavy; + + // all probabilities are the same + if (heavy == n) { + for (auto i = 0; i < size; ++i) { + *result = (*rng)(n); + ++result; + } + return; + } + + // get first light + auto light = 0u; + while (probs[light] > bucket_weight) + ++light; + + auto residual = probs[heavy]; + size_t next_heavy; + double packing_weight; + while (true) { + if (residual > bucket_weight) { + // check if we're done + if (light == n) { + break; + } + + // pack a light bucket with the residual + alternative_index[light] = heavy; + + // update residual + packing_weight = (light == n) ? 0 : probs[light]; + residual = residual + packing_weight - bucket_weight; + + // find the next light element + ++light; + while(light < n && probs[light] > bucket_weight) + ++light; + } else { + // find the next heavy + next_heavy = heavy + 1; + while(next_heavy < n && probs[next_heavy] <= bucket_weight) + ++next_heavy; + + dividing_probs[heavy] = residual; + + // check if we're done + if (next_heavy == n) { + alternative_index[heavy] = heavy; + break; + } + + // pack this (ex-)heavy bucket with the next heavy + alternative_index[heavy] = next_heavy; + // update the residual for the next heavy + residual = residual + probs[next_heavy] - bucket_weight; + heavy = next_heavy; + } + } + + // normalise the dividing_probs + for (auto& p : dividing_probs) { + p /= bucket_weight; + } + + // sample + for (auto i = 0; i < size; ++i) { + size_t bucket = (*rng)(n); + double acceptance = dqrng::uniform01((*rng)()); + *result = (acceptance < dividing_probs[bucket]) ? bucket : + alternative_index[bucket]; + ++result; + } +} diff --git a/src-i386/Random.h b/src-i386/Random.h new file mode 100644 index 00000000..b6e15039 --- /dev/null +++ b/src-i386/Random.h @@ -0,0 +1,65 @@ +// -*- mode: C++; c-indent-level: 4; c-basic-offset: 4; indent-tabs-mode: nil; -*- +/* + * Random.h + * + * Created on: 6 Aug 2020 + * Author: gc1610 + */ + +#ifndef SRC_RANDOM_H_ +#define SRC_RANDOM_H_ + +// [[Rcpp::depends(dqrng, sitmo, BH)]] +#include +#include +#include +#include + +class RandomInterface { +public: + virtual std::vector bernoulli(size_t, double) = 0; + virtual std::vector bernoulli_multi_p(const std::vector) = 0; + virtual std::vector sample(size_t, size_t, bool) = 0; + virtual void prop_sample_bucket( + size_t size, + std::vector probs, + int* result + ) = 0; + virtual void seed(size_t) = 0; + virtual ~RandomInterface() = default; +}; + +class Random : public RandomInterface { + dqrng::rng64_t rng; +public: + static Random& get_instance() { + static Random instance; + return instance; + } + virtual void seed(size_t); + virtual std::vector bernoulli(size_t, double); + virtual std::vector bernoulli_multi_p(const std::vector); + virtual std::vector sample(size_t, size_t, bool); + + // Performs a weighted sample of `probs.size()` integers with: + // * a distribution of `probs` + // * replacement + // * dqrng::xoroshiro128plus as the random number generator + // + // please see https://arxiv.org/pdf/1903.00227.pdf sweepingAliasTable for the + // method. + virtual void prop_sample_bucket( + size_t, + std::vector, + int* + ); + virtual ~Random() = default; + Random(const Random &other) = delete; + Random(Random &&other) = delete; + Random& operator=(const Random &other) = delete; + Random& operator=(Random &&other) = delete; +private: + Random() : rng(dqrng::generator(42)) {}; +}; + +#endif /* SRC_RANDOM_H_ */ diff --git a/src-i386/Random.o b/src-i386/Random.o new file mode 100644 index 0000000000000000000000000000000000000000..0e7a279e88998e8cfe62ac78eb2f7adb7c09e2e5 GIT binary patch literal 1078027 zcmb@v4}4tJdFMTH1SrJ8g1XeDDxFe=x>W0o=KoMFnNZtRsc^MKP?su12HCMw#a3ZPgFv3y->?Ar~|H^0RH)2Ys$WxZ<#*33g6@L5fDPA|K2%NBk5E`T$AiC?}F1Wh+R?D9FJK))q@?7+|op4uvC-y^9 zD2iX9Rg$t6 zf1*1LcY~{2v@3|{&N%iW-BQl7C%PvbF48U8=_k6gaNVwMIb)TBG~8LoUZh*jSq*~d zHn!X4G}0}Xto#t&C2;q+x|NLOM-{Hwu@~u9a#s8n!}Y@LH})h3k#5B=_uJqecXeAc z8C{Xm{C;Ohw>6X3ocKHDaFK3nrmPE=_&W|a?di5=wZo!&(6iS=d(c|Z_J(lqINa;T z-beXelrF8=ysqe?yZ)v?ezfMS3>Izxu6$BFQtd%&uBdg>oZIf$i*<8W1raNw4i~3O zKC26i=pKN(&C|^nb%7DxNylESo43+MbdNb)tXs(H0wcO7;08S1LP4jW)VEWPy;!$U z)|}{GaJX2vXfiw7yDZ-xZEII(bFwk?NA!s zU2t87OX^X@>WE3~4+M29CAU4DfV;!h&1I~1trL4waD#@cmFHZ>Dt}S^_{Bgv=UPi{ 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z{92*j2fgl7zidi-K2U;QeML`24{adI0VLYtf}88Y18BNf&Jdfh zfM_Vr(0lwcuPDqmcBZxf3#%>S5iTC_|43+k5WMT{)9M>)6YOVvTQ;NP^7|I$IhJj? za{aQL!z{5_eQSqq^wPf1^_t4aKTfNKK2_E)o3ePVHoKSULau=;+_pmOx|rbEw!XM` V?(Zy1I40imKXkv*_2wCc{vUq7jU)g7 literal 0 HcmV?d00001 diff --git a/src-i386/RcppExports.cpp b/src-i386/RcppExports.cpp new file mode 100644 index 00000000..081120b6 --- /dev/null +++ b/src-i386/RcppExports.cpp @@ -0,0 +1,290 @@ +// Generated by using Rcpp::compileAttributes() -> do not edit by hand +// Generator token: 10BE3573-1514-4C36-9D1C-5A225CD40393 + +#include "malariasimulation_types.h" +#include + +using namespace Rcpp; + +#ifdef RCPP_USE_GLOBAL_ROSTREAM +Rcpp::Rostream& Rcpp::Rcout = Rcpp::Rcpp_cout_get(); +Rcpp::Rostream& Rcpp::Rcerr = Rcpp::Rcpp_cerr_get(); +#endif + +// create_adult_mosquito_model +Rcpp::XPtr create_adult_mosquito_model(Rcpp::XPtr growth_model, double mu, double tau, double susceptible, double foim); +RcppExport SEXP _malariasimulation_create_adult_mosquito_model(SEXP growth_modelSEXP, SEXP muSEXP, SEXP tauSEXP, SEXP susceptibleSEXP, SEXP foimSEXP) { +BEGIN_RCPP + Rcpp::RObject rcpp_result_gen; + Rcpp::RNGScope rcpp_rngScope_gen; + Rcpp::traits::input_parameter< Rcpp::XPtr >::type growth_model(growth_modelSEXP); + Rcpp::traits::input_parameter< double >::type mu(muSEXP); + Rcpp::traits::input_parameter< double >::type tau(tauSEXP); + Rcpp::traits::input_parameter< double >::type susceptible(susceptibleSEXP); + Rcpp::traits::input_parameter< double >::type foim(foimSEXP); + rcpp_result_gen = Rcpp::wrap(create_adult_mosquito_model(growth_model, mu, tau, susceptible, foim)); + return rcpp_result_gen; +END_RCPP +} +// adult_mosquito_model_update +void adult_mosquito_model_update(Rcpp::XPtr model, double mu, double foim, double susceptible, double f); +RcppExport SEXP _malariasimulation_adult_mosquito_model_update(SEXP modelSEXP, SEXP muSEXP, SEXP foimSEXP, SEXP susceptibleSEXP, SEXP fSEXP) { +BEGIN_RCPP + Rcpp::RNGScope rcpp_rngScope_gen; + Rcpp::traits::input_parameter< Rcpp::XPtr >::type model(modelSEXP); + Rcpp::traits::input_parameter< double >::type mu(muSEXP); + Rcpp::traits::input_parameter< double >::type foim(foimSEXP); + Rcpp::traits::input_parameter< double >::type susceptible(susceptibleSEXP); + Rcpp::traits::input_parameter< double >::type f(fSEXP); + adult_mosquito_model_update(model, mu, foim, susceptible, f); + return R_NilValue; +END_RCPP +} +// create_adult_solver +Rcpp::XPtr create_adult_solver(Rcpp::XPtr model, std::vector init, double r_tol, double a_tol, size_t max_steps); +RcppExport SEXP _malariasimulation_create_adult_solver(SEXP modelSEXP, SEXP initSEXP, SEXP r_tolSEXP, SEXP a_tolSEXP, SEXP max_stepsSEXP) { +BEGIN_RCPP + Rcpp::RObject rcpp_result_gen; + Rcpp::RNGScope rcpp_rngScope_gen; + Rcpp::traits::input_parameter< Rcpp::XPtr >::type model(modelSEXP); + Rcpp::traits::input_parameter< std::vector >::type init(initSEXP); + Rcpp::traits::input_parameter< double >::type r_tol(r_tolSEXP); + Rcpp::traits::input_parameter< double >::type a_tol(a_tolSEXP); + Rcpp::traits::input_parameter< size_t >::type max_steps(max_stepsSEXP); + rcpp_result_gen = Rcpp::wrap(create_adult_solver(model, init, r_tol, a_tol, max_steps)); + return rcpp_result_gen; +END_RCPP +} +// create_aquatic_mosquito_model +Rcpp::XPtr create_aquatic_mosquito_model(double beta, double de, double mue, double K0, double gamma, double dl, double mul, double dp, double mup, size_t total_M, bool model_seasonality, double g0, std::vector g, std::vector h, double R_bar, double mum, double f, double rainfall_floor); +RcppExport SEXP _malariasimulation_create_aquatic_mosquito_model(SEXP betaSEXP, SEXP deSEXP, SEXP mueSEXP, SEXP K0SEXP, SEXP gammaSEXP, SEXP dlSEXP, SEXP mulSEXP, SEXP dpSEXP, SEXP mupSEXP, SEXP total_MSEXP, SEXP model_seasonalitySEXP, SEXP g0SEXP, SEXP gSEXP, SEXP hSEXP, SEXP R_barSEXP, SEXP mumSEXP, SEXP fSEXP, SEXP rainfall_floorSEXP) { +BEGIN_RCPP + Rcpp::RObject rcpp_result_gen; + Rcpp::RNGScope rcpp_rngScope_gen; + Rcpp::traits::input_parameter< double >::type beta(betaSEXP); + Rcpp::traits::input_parameter< double >::type de(deSEXP); + Rcpp::traits::input_parameter< double >::type mue(mueSEXP); + Rcpp::traits::input_parameter< double >::type K0(K0SEXP); + Rcpp::traits::input_parameter< double >::type gamma(gammaSEXP); + Rcpp::traits::input_parameter< double >::type dl(dlSEXP); + Rcpp::traits::input_parameter< double >::type mul(mulSEXP); + Rcpp::traits::input_parameter< double >::type dp(dpSEXP); + Rcpp::traits::input_parameter< double >::type mup(mupSEXP); + Rcpp::traits::input_parameter< size_t >::type total_M(total_MSEXP); + Rcpp::traits::input_parameter< bool >::type model_seasonality(model_seasonalitySEXP); + Rcpp::traits::input_parameter< double >::type g0(g0SEXP); + Rcpp::traits::input_parameter< std::vector >::type g(gSEXP); + Rcpp::traits::input_parameter< std::vector >::type h(hSEXP); + Rcpp::traits::input_parameter< double >::type R_bar(R_barSEXP); + Rcpp::traits::input_parameter< double >::type mum(mumSEXP); + Rcpp::traits::input_parameter< double >::type f(fSEXP); + Rcpp::traits::input_parameter< double >::type rainfall_floor(rainfall_floorSEXP); + rcpp_result_gen = Rcpp::wrap(create_aquatic_mosquito_model(beta, de, mue, K0, gamma, dl, mul, dp, mup, total_M, model_seasonality, g0, g, h, R_bar, mum, f, rainfall_floor)); + return rcpp_result_gen; +END_RCPP +} +// aquatic_mosquito_model_update +void aquatic_mosquito_model_update(Rcpp::XPtr model, size_t total_M, double f, double mum); +RcppExport SEXP _malariasimulation_aquatic_mosquito_model_update(SEXP modelSEXP, SEXP total_MSEXP, SEXP fSEXP, SEXP mumSEXP) { +BEGIN_RCPP + Rcpp::RNGScope rcpp_rngScope_gen; + Rcpp::traits::input_parameter< Rcpp::XPtr >::type model(modelSEXP); + Rcpp::traits::input_parameter< size_t >::type total_M(total_MSEXP); + Rcpp::traits::input_parameter< double >::type f(fSEXP); + Rcpp::traits::input_parameter< double >::type mum(mumSEXP); + aquatic_mosquito_model_update(model, total_M, f, mum); + return R_NilValue; +END_RCPP +} +// create_aquatic_solver +Rcpp::XPtr create_aquatic_solver(Rcpp::XPtr model, std::vector init, double r_tol, double a_tol, size_t max_steps); +RcppExport SEXP _malariasimulation_create_aquatic_solver(SEXP modelSEXP, SEXP initSEXP, SEXP r_tolSEXP, SEXP a_tolSEXP, SEXP max_stepsSEXP) { +BEGIN_RCPP + Rcpp::RObject rcpp_result_gen; + Rcpp::RNGScope rcpp_rngScope_gen; + Rcpp::traits::input_parameter< Rcpp::XPtr >::type model(modelSEXP); + Rcpp::traits::input_parameter< std::vector >::type init(initSEXP); + Rcpp::traits::input_parameter< double >::type r_tol(r_tolSEXP); + Rcpp::traits::input_parameter< double >::type a_tol(a_tolSEXP); + Rcpp::traits::input_parameter< size_t >::type max_steps(max_stepsSEXP); + rcpp_result_gen = Rcpp::wrap(create_aquatic_solver(model, init, r_tol, a_tol, max_steps)); + return rcpp_result_gen; +END_RCPP +} +// create_history +Rcpp::XPtr create_history(size_t size, double default_value); +RcppExport SEXP _malariasimulation_create_history(SEXP sizeSEXP, SEXP default_valueSEXP) { +BEGIN_RCPP + Rcpp::RObject rcpp_result_gen; + Rcpp::RNGScope rcpp_rngScope_gen; + Rcpp::traits::input_parameter< size_t >::type size(sizeSEXP); + Rcpp::traits::input_parameter< double >::type default_value(default_valueSEXP); + rcpp_result_gen = Rcpp::wrap(create_history(size, default_value)); + return rcpp_result_gen; +END_RCPP +} +// history_at +double history_at(Rcpp::XPtr history, double timestep); +RcppExport SEXP _malariasimulation_history_at(SEXP historySEXP, SEXP timestepSEXP) { +BEGIN_RCPP + Rcpp::RObject rcpp_result_gen; + Rcpp::RNGScope rcpp_rngScope_gen; + Rcpp::traits::input_parameter< Rcpp::XPtr >::type history(historySEXP); + Rcpp::traits::input_parameter< double >::type timestep(timestepSEXP); + rcpp_result_gen = Rcpp::wrap(history_at(history, timestep)); + return rcpp_result_gen; +END_RCPP +} +// history_push +void history_push(Rcpp::XPtr history, double value, double timestep); +RcppExport SEXP _malariasimulation_history_push(SEXP historySEXP, SEXP valueSEXP, SEXP timestepSEXP) { +BEGIN_RCPP + Rcpp::RNGScope rcpp_rngScope_gen; + Rcpp::traits::input_parameter< Rcpp::XPtr >::type history(historySEXP); + Rcpp::traits::input_parameter< double >::type value(valueSEXP); + Rcpp::traits::input_parameter< double >::type timestep(timestepSEXP); + history_push(history, value, timestep); + return R_NilValue; +END_RCPP +} +// carrying_capacity +double carrying_capacity(const size_t timestep, const bool model_seasonality, const double g0, const std::vector& g, const std::vector& h, const double K0, const double R_bar, const double rainfall_floor); +RcppExport SEXP _malariasimulation_carrying_capacity(SEXP timestepSEXP, SEXP model_seasonalitySEXP, SEXP g0SEXP, SEXP gSEXP, SEXP hSEXP, SEXP K0SEXP, SEXP R_barSEXP, SEXP rainfall_floorSEXP) { +BEGIN_RCPP + Rcpp::RObject rcpp_result_gen; + Rcpp::RNGScope rcpp_rngScope_gen; + Rcpp::traits::input_parameter< const size_t >::type timestep(timestepSEXP); + Rcpp::traits::input_parameter< const bool >::type model_seasonality(model_seasonalitySEXP); + Rcpp::traits::input_parameter< const double >::type g0(g0SEXP); + Rcpp::traits::input_parameter< const std::vector& >::type g(gSEXP); + Rcpp::traits::input_parameter< const std::vector& >::type h(hSEXP); + Rcpp::traits::input_parameter< const double >::type K0(K0SEXP); + Rcpp::traits::input_parameter< const double >::type R_bar(R_barSEXP); + Rcpp::traits::input_parameter< const double >::type rainfall_floor(rainfall_floorSEXP); + rcpp_result_gen = Rcpp::wrap(carrying_capacity(timestep, model_seasonality, g0, g, h, K0, R_bar, rainfall_floor)); + return rcpp_result_gen; +END_RCPP +} +// eggs_laid +double eggs_laid(double beta, double mu, double f); +RcppExport SEXP _malariasimulation_eggs_laid(SEXP betaSEXP, SEXP muSEXP, SEXP fSEXP) { +BEGIN_RCPP + Rcpp::RObject rcpp_result_gen; + Rcpp::RNGScope rcpp_rngScope_gen; + Rcpp::traits::input_parameter< double >::type beta(betaSEXP); + Rcpp::traits::input_parameter< double >::type mu(muSEXP); + Rcpp::traits::input_parameter< double >::type f(fSEXP); + rcpp_result_gen = Rcpp::wrap(eggs_laid(beta, mu, f)); + return rcpp_result_gen; +END_RCPP +} +// rainfall +double rainfall(const size_t t, const double g0, const std::vector& g, const std::vector& h, const double floor); +RcppExport SEXP _malariasimulation_rainfall(SEXP tSEXP, SEXP g0SEXP, SEXP gSEXP, SEXP hSEXP, SEXP floorSEXP) { +BEGIN_RCPP + Rcpp::RObject rcpp_result_gen; + Rcpp::RNGScope rcpp_rngScope_gen; + Rcpp::traits::input_parameter< const size_t >::type t(tSEXP); + Rcpp::traits::input_parameter< const double >::type g0(g0SEXP); + Rcpp::traits::input_parameter< const std::vector& >::type g(gSEXP); + Rcpp::traits::input_parameter< const std::vector& >::type h(hSEXP); + Rcpp::traits::input_parameter< const double >::type floor(floorSEXP); + rcpp_result_gen = Rcpp::wrap(rainfall(t, g0, g, h, floor)); + return rcpp_result_gen; +END_RCPP +} +// solver_get_states +std::vector solver_get_states(Rcpp::XPtr solver); +RcppExport SEXP _malariasimulation_solver_get_states(SEXP solverSEXP) { +BEGIN_RCPP + Rcpp::RObject rcpp_result_gen; + Rcpp::RNGScope rcpp_rngScope_gen; + Rcpp::traits::input_parameter< Rcpp::XPtr >::type solver(solverSEXP); + rcpp_result_gen = Rcpp::wrap(solver_get_states(solver)); + return rcpp_result_gen; +END_RCPP +} +// solver_step +void solver_step(Rcpp::XPtr solver); +RcppExport SEXP _malariasimulation_solver_step(SEXP solverSEXP) { +BEGIN_RCPP + Rcpp::RNGScope rcpp_rngScope_gen; + Rcpp::traits::input_parameter< Rcpp::XPtr >::type solver(solverSEXP); + solver_step(solver); + return R_NilValue; +END_RCPP +} +// random_seed +void random_seed(size_t seed); +RcppExport SEXP _malariasimulation_random_seed(SEXP seedSEXP) { +BEGIN_RCPP + Rcpp::RNGScope rcpp_rngScope_gen; + Rcpp::traits::input_parameter< size_t >::type seed(seedSEXP); + random_seed(seed); + return R_NilValue; +END_RCPP +} +// bernoulli_multi_p_cpp +std::vector bernoulli_multi_p_cpp(const std::vector p); +RcppExport SEXP _malariasimulation_bernoulli_multi_p_cpp(SEXP pSEXP) { +BEGIN_RCPP + Rcpp::RObject rcpp_result_gen; + Rcpp::RNGScope rcpp_rngScope_gen; + Rcpp::traits::input_parameter< const std::vector >::type p(pSEXP); + rcpp_result_gen = Rcpp::wrap(bernoulli_multi_p_cpp(p)); + return rcpp_result_gen; +END_RCPP +} +// bitset_index_cpp +std::vector bitset_index_cpp(Rcpp::XPtr a, Rcpp::XPtr b); +RcppExport SEXP _malariasimulation_bitset_index_cpp(SEXP aSEXP, SEXP bSEXP) { +BEGIN_RCPP + Rcpp::RObject rcpp_result_gen; + Rcpp::RNGScope rcpp_rngScope_gen; + Rcpp::traits::input_parameter< Rcpp::XPtr >::type a(aSEXP); + Rcpp::traits::input_parameter< Rcpp::XPtr >::type b(bSEXP); + rcpp_result_gen = Rcpp::wrap(bitset_index_cpp(a, b)); + return rcpp_result_gen; +END_RCPP +} +// fast_weighted_sample +Rcpp::IntegerVector fast_weighted_sample(size_t size, std::vector probs); +RcppExport SEXP _malariasimulation_fast_weighted_sample(SEXP sizeSEXP, SEXP probsSEXP) { +BEGIN_RCPP + Rcpp::RObject rcpp_result_gen; + Rcpp::traits::input_parameter< size_t >::type size(sizeSEXP); + Rcpp::traits::input_parameter< std::vector >::type probs(probsSEXP); + rcpp_result_gen = Rcpp::wrap(fast_weighted_sample(size, probs)); + return rcpp_result_gen; +END_RCPP +} + +RcppExport SEXP run_testthat_tests(); + +static const R_CallMethodDef CallEntries[] = { + {"_malariasimulation_create_adult_mosquito_model", (DL_FUNC) &_malariasimulation_create_adult_mosquito_model, 5}, + {"_malariasimulation_adult_mosquito_model_update", (DL_FUNC) &_malariasimulation_adult_mosquito_model_update, 5}, + {"_malariasimulation_create_adult_solver", (DL_FUNC) &_malariasimulation_create_adult_solver, 5}, + {"_malariasimulation_create_aquatic_mosquito_model", (DL_FUNC) &_malariasimulation_create_aquatic_mosquito_model, 18}, + {"_malariasimulation_aquatic_mosquito_model_update", (DL_FUNC) &_malariasimulation_aquatic_mosquito_model_update, 4}, + {"_malariasimulation_create_aquatic_solver", (DL_FUNC) &_malariasimulation_create_aquatic_solver, 5}, + {"_malariasimulation_create_history", (DL_FUNC) &_malariasimulation_create_history, 2}, + {"_malariasimulation_history_at", (DL_FUNC) &_malariasimulation_history_at, 2}, + {"_malariasimulation_history_push", (DL_FUNC) &_malariasimulation_history_push, 3}, + {"_malariasimulation_carrying_capacity", (DL_FUNC) &_malariasimulation_carrying_capacity, 8}, + {"_malariasimulation_eggs_laid", (DL_FUNC) &_malariasimulation_eggs_laid, 3}, + {"_malariasimulation_rainfall", (DL_FUNC) &_malariasimulation_rainfall, 5}, + {"_malariasimulation_solver_get_states", (DL_FUNC) &_malariasimulation_solver_get_states, 1}, + {"_malariasimulation_solver_step", (DL_FUNC) &_malariasimulation_solver_step, 1}, + {"_malariasimulation_random_seed", (DL_FUNC) &_malariasimulation_random_seed, 1}, + {"_malariasimulation_bernoulli_multi_p_cpp", (DL_FUNC) &_malariasimulation_bernoulli_multi_p_cpp, 1}, + {"_malariasimulation_bitset_index_cpp", (DL_FUNC) &_malariasimulation_bitset_index_cpp, 2}, + {"_malariasimulation_fast_weighted_sample", (DL_FUNC) &_malariasimulation_fast_weighted_sample, 2}, + {"run_testthat_tests", (DL_FUNC) &run_testthat_tests, 0}, + {NULL, NULL, 0} +}; + +RcppExport void R_init_malariasimulation(DllInfo *dll) { + R_registerRoutines(dll, NULL, CallEntries, NULL, NULL); + R_useDynamicSymbols(dll, FALSE); +} diff --git a/src-i386/RcppExports.o b/src-i386/RcppExports.o new file mode 100644 index 0000000000000000000000000000000000000000..3a44cd2b92de39571240bf369de856c31f52cf9a GIT binary patch literal 4156720 zcmZ_14S1#JdDkgi*%hvup1P{58sWaUYO0#SIo}`Y5DsQAs;j1IDuM_@_F#ms!Dx-v zh^#i3$cpT&5m~L#hQVml!H6(;hg`yF!{8l)HfY0O2Jc`7Bf^l?8WBVo%n(#F7-5F& z{_gYM=REiGq362nqtW^4{=fJ0^*-Ov+>3wg*AEcZe*7l~{^S|?X>j0)#XqpLC_idw z|IUGdi@!2Bu>OfII`E744-8}j)14>ge&6En>p^@L`EUPdaNyNHk#k@J?SbjtC!YBu zf5cz|?Lqsm{O6T{&hAI5{_orTbNE*W2X3jo`}lWOnC^U}T=T#o{xt<>L%UFHf27*5 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zW%Y4X%gF(U0%GD|0_#$XY8=h1XgOj~^+lUPL=kci)y&0qi}n&!`$U3slhD*so5_4l zDY>}12~;^{sz4~3e(%aLWGV59_i=J-iK4DI5g#k7h~*9JOL(Z5{IKak3)iC+He+DK zFt4tj(D)r3x;=n29wz)axA>P?xyFB&{5ok@mxo;~H-w0AkN=A#;l0MY+ +#include "adult_mosquito_eqs.h" + +AdultMosquitoModel::AdultMosquitoModel( + AquaticMosquitoModel growth_model, + double mu, + double tau, + double incubating, + double foim + ) : growth_model(growth_model), mu(mu), tau(tau), foim(foim) +{ + for (auto i = 0u; i < tau; ++i) { + lagged_incubating.push(incubating); + } +} + +integration_function_t create_eqs(AdultMosquitoModel& model) { + //create original ode + auto growth_eqs = create_eqs(model.growth_model); + return [&model, growth_eqs](const state_t& x, state_t& dxdt, double t) { + //set submodel total_M + model.growth_model.total_M = + x[get_idx(AdultState::S)] + + x[get_idx(AdultState::E)] + + x[get_idx(AdultState::I)]; + + //run the growth ode + growth_eqs(x, dxdt, t); + + //run the adult ode + auto incubation_survival = exp(-model.mu * model.tau); + + dxdt[get_idx(AdultState::S)] = + .5 * x[get_idx(AquaticState::P)] / model.growth_model.dp //growth to adult female + - x[get_idx(AdultState::S)] * model.foim //infections + - x[get_idx(AdultState::S)] * model.mu; //deaths + + dxdt[get_idx(AdultState::E)] = + x[get_idx(AdultState::S)] * model.foim //infections + - model.lagged_incubating.front() * incubation_survival //survived incubation period + - x[get_idx(AdultState::E)] * model.mu; // deaths + + dxdt[get_idx(AdultState::I)] = model.lagged_incubating.front() * incubation_survival //survived incubation period + - x[get_idx(AdultState::I)] * model.mu; // deaths + }; +} + +//[[Rcpp::export]] +Rcpp::XPtr create_adult_mosquito_model( + Rcpp::XPtr growth_model, + double mu, + double tau, + double susceptible, + double foim + ) { + auto model = new AdultMosquitoModel( + *growth_model, + mu, + tau, + susceptible, + foim + ); + return Rcpp::XPtr(model, true); +} + +//[[Rcpp::export]] +void adult_mosquito_model_update( + Rcpp::XPtr model, + double mu, + double foim, + double susceptible, + double f + ) { + model->mu = mu; + model->foim = foim; + model->growth_model.f = f; + model->growth_model.mum = mu; + model->lagged_incubating.push(susceptible * foim); + if (model->lagged_incubating.size() > 0) { + model->lagged_incubating.pop(); + } +} + +//[[Rcpp::export]] +Rcpp::XPtr create_adult_solver( + Rcpp::XPtr model, + std::vector init, + double r_tol, + double a_tol, + size_t max_steps + ) { + return Rcpp::XPtr( + new Solver( + init, + create_eqs(*model), + r_tol, + a_tol, + max_steps + ), + true + ); +} diff --git a/src-i386/adult_mosquito_eqs.h b/src-i386/adult_mosquito_eqs.h new file mode 100644 index 00000000..6fc30501 --- /dev/null +++ b/src-i386/adult_mosquito_eqs.h @@ -0,0 +1,41 @@ +/* + * adult_mosquito_eqs.h + * + * Created on: 17 Mar 2021 + * Author: gc1610 + */ + +#ifndef SRC_ADULT_MOSQUITO_EQS_H_ +#define SRC_ADULT_MOSQUITO_EQS_H_ + +#include +#include "aquatic_mosquito_eqs.h" + +/* + * The adult states are: + * 3 - S - Susceptible + * 4 - E - Incubating + * 5 - I - Infectious + */ +enum class AdultState : size_t {S = 3, E = 4, I = 5}; + +/* + * AdultMosquitoModel + * + * A data structure for storing equation parameters for each timestep + * + * foim, mu and lagged_incubating are updated each timestep + */ +struct AdultMosquitoModel { + AquaticMosquitoModel growth_model; + std::queue lagged_incubating; //last tau values for incubating mosquitos + double mu; //death rate for adult female mosquitoes + const double tau; //extrinsic incubation period + double foim; //force of infection towards mosquitoes + AdultMosquitoModel(AquaticMosquitoModel, double, double, double, double); +}; + +// create a system of equations for the solver +integration_function_t create_eqs(AdultMosquitoModel& model); + +#endif /* SRC_ADULT_MOSQUITO_EQS_H_ */ diff --git a/src-i386/adult_mosquito_eqs.o b/src-i386/adult_mosquito_eqs.o new file mode 100644 index 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b/src-i386/aquatic_mosquito_eqs.cpp @@ -0,0 +1,151 @@ +/* + * mosquito_ode.cpp + * + * Created on: 11 Jun 2020 + * Author: gc1610 + */ + +#include +#include "aquatic_mosquito_eqs.h" + +integration_function_t create_eqs(AquaticMosquitoModel& model) { + return [&model](const state_t& x, state_t& dxdt, double t) { + auto K = carrying_capacity( + t, + model.model_seasonality, + model.g0, + model.g, + model.h, + model.K0, + model.R_bar, + model.rainfall_floor + ); + auto beta = eggs_laid(model.beta, model.mum, model.f); + auto n_larvae = x[get_idx(AquaticState::E)] + x[get_idx(AquaticState::L)]; + + dxdt[get_idx(AquaticState::E)] = beta * (model.total_M) //new eggs + - x[get_idx(AquaticState::E)] / model.de //growth to late larval stage + - x[get_idx(AquaticState::E)] * model.mue * (1 + n_larvae / K); //early larval deaths + + dxdt[get_idx(AquaticState::L)] = x[get_idx(AquaticState::E)] / model.de //growth from early larval + - x[get_idx(AquaticState::L)] / model.dl //growth to pupal + - x[get_idx(AquaticState::L)] * model.mul * (1 + model.gamma * n_larvae / K); //late larval deaths + + dxdt[get_idx(AquaticState::P)] = x[get_idx(AquaticState::L)] / model.dl //growth to pupae + - x[get_idx(AquaticState::P)] / model.dp //growth to adult + - x[get_idx(AquaticState::P)] * model.mup; // death of pupae + }; +} + +AquaticMosquitoModel::AquaticMosquitoModel( + double beta, + double de, + double mue, + double K0, + double gamma, + double dl, + double mul, + double dp, + double mup, + size_t total_M, + bool model_seasonality, + double g0, + std::vector g, + std::vector h, + double R_bar, + double mum, + double f, + double rainfall_floor + ): + beta(beta), + de(de), + mue(mue), + K0(K0), + gamma(gamma), + dl(dl), + mul(mul), + dp(dp), + mup(mup), + total_M(total_M), + model_seasonality(model_seasonality), + g0(g0), + g(g), + h(h), + R_bar(R_bar), + mum(mum), + f(f), + rainfall_floor(rainfall_floor) + {} + + + +//[[Rcpp::export]] +Rcpp::XPtr create_aquatic_mosquito_model( + double beta, + double de, + double mue, + double K0, + double gamma, + double dl, + double mul, + double dp, + double mup, + size_t total_M, + bool model_seasonality, + double g0, + std::vector g, + std::vector h, + double R_bar, + double mum, + double f, + double rainfall_floor + ) { + auto model = new AquaticMosquitoModel( + beta, + de, + mue, + K0, + gamma, + dl, + mul, + dp, + mup, + total_M, + model_seasonality, + g0, + g, + h, + R_bar, + mum, + f, + rainfall_floor + ); + return Rcpp::XPtr(model, true); +} + +//[[Rcpp::export]] +void aquatic_mosquito_model_update( + Rcpp::XPtr model, + size_t total_M, + double f, + double mum + ) { + model->total_M = total_M; + model->f = f; + model->mum = mum; +} + + +//[[Rcpp::export]] +Rcpp::XPtr create_aquatic_solver( + Rcpp::XPtr model, + std::vector init, + double r_tol, + double a_tol, + size_t max_steps + ) { + return Rcpp::XPtr( + new Solver(init, create_eqs(*model), r_tol, a_tol, max_steps), + true + ); +} diff --git a/src-i386/aquatic_mosquito_eqs.h b/src-i386/aquatic_mosquito_eqs.h new file mode 100644 index 00000000..e7de7e8a --- /dev/null +++ b/src-i386/aquatic_mosquito_eqs.h @@ -0,0 +1,86 @@ +/* + * mosquito_ode.h + * + * Created on: 11 Jun 2020 + * Author: gc1610 + */ + +#ifndef SRC_MOSQUITO_ODE_H_ +#define SRC_MOSQUITO_ODE_H_ + +#include +#include +#include +#include "mosquito_biology.h" +#include "solver.h" + +/* + * The states are: + * 0 - E - Early larval stage + * 1 - L - Late larval stage + * 2 - P - Pupal stage + */ +enum class AquaticState : size_t {E, L, P}; + +// Provide a convenience function for getting at the index of an enumeration +template +constexpr auto get_idx(T value) +{ + return static_cast>(value); +} + +/* + * AquaticMosquitoModel + * + * A data structure for storing aquatic mosquito equation parameters for each + * timestep + * + * total_M, biting rate and mortality are updated each timestep + */ +struct AquaticMosquitoModel { + /* Parameters */ + const double beta; //egg laying rate + const double de; //delay for early larval growth + const double mue; //death rate for early larvae + const double K0; //baseline carrying capacity + const double gamma; //carrying capacity parameter for late larvae + const double dl; //delay for late larval growth + const double mul; //death rate for late larvae + const double dp; //delay for for pupal growth + const double mup; //death rate for pupae + size_t total_M; //the number of adult female mosquitos in the model + const bool model_seasonality; //whether to model seasonality + const double g0; //fourier shape parameter + const std::vector g; //fourier shape parameters + const std::vector h; //fourier shape parameters + const double R_bar; //average rainfall + double mum; //adult mortality rate + double f; //biting rate + double rainfall_floor; //minimum rainfall + + AquaticMosquitoModel( + double beta, + double de, + double mue, + double K0, + double gamma, + double dl, + double mul, + double dp, + double mup, + size_t total_M, + bool model_seasonality, + double g0, + std::vector g, + std::vector h, + double R_bar, + double mum, + double f, + double rainfall_floor + ); + virtual ~AquaticMosquitoModel() {}; +}; + +integration_function_t create_eqs(AquaticMosquitoModel& model); + +#endif /* SRC_MOSQUITO_ODE_H_ */ diff --git a/src-i386/aquatic_mosquito_eqs.o b/src-i386/aquatic_mosquito_eqs.o new file mode 100644 index 0000000000000000000000000000000000000000..0e40cb069439f7a82a6de6a2c174b0cf607daef1 GIT binary patch literal 638074 zcmeEv33wD$)^>F^0?iT>V^qWj5izp#o{li21>!UsAZ&^XgpdRh4M|Lz%|S!~hlprY zL{vmnL_}0ZkwHa_ii!>@qs)lQFsO_l3ga*gYIGF-_uPA{>ekY9(=hY=&;Nh*r25wK z)_Ko8cfWP(r2LkJ6Taeb28YKTKu|{;)#9A zOQWSKCPo-miktgPYG{yeyHe#demqy1*xc7|yzav3UMO<=&79YPb5~aJ#J)ba0ho!i zv}uM*N;u0M?i@(@t*Bi9(HUTGZB0aqFHR4@4SH2>6eLh2i5bqk`GUoC0)zZV4XOKtn z-2j}tF>L4Zj+r-PESO>7Mw{d@-jFffIsvx?xaC5g1Lur4-)pcR@vZ@G zwV5|R5Wp>MWBJOCH$UGXkK()4gk!uOw;=pj(b_7`Uy#-E84C7Ic!AHV;42#_b$5v^0dv0&b~=H_tB@ 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+History::History(size_t max_size) : max_size(max_size), has_default(false) {} +History::History(size_t max_size, double default_value) + : max_size(max_size), has_default(true), default_value(default_value) {} + +void History::push(double value, double time) { + values.insert({time, value}); + if (max_size != -1) { + while(values.size() > max_size) { + values.erase(values.begin()); + } + } +} + +double History::at(double time) const { + auto it = values.lower_bound(time); + if (it == values.end()) { + if (has_default) { + return default_value; + } + Rcpp::stop("`time` is later than the stored history"); + } + + // Check if we've landed on the exact time + if (it->first == time) { + return it->second; + } + + // Find the element before + auto after_element = *it; + while(it->first > time) { + // Check if we're at the start of the history + if (it == values.begin()) { + if (has_default) { + return default_value; + } + Rcpp::stop("`time` is before our stored history"); + } + it--; + } + + // Interpolate + return it->second + ( + (time - it->first) / (after_element.first - it->first) + ) * (after_element.second - it->second); +} + +//[[Rcpp::export]] +Rcpp::XPtr create_history(size_t size, double default_value) { + return Rcpp::XPtr(new History(size, default_value), true); +} + +//[[Rcpp::export]] +double history_at(Rcpp::XPtr history, double timestep) { + return history->at(timestep); +} + +//[[Rcpp::export]] +void history_push(Rcpp::XPtr history, double value, double timestep) { + return history->push(value, timestep); +} diff --git a/src-i386/history.h b/src-i386/history.h new file mode 100644 index 00000000..5a5fd618 --- /dev/null +++ b/src-i386/history.h @@ -0,0 +1,28 @@ +/* + * history.h + * + * Created on: 08 Apr 2021 + * Author: gc1610 + */ + +#ifndef SRC_HISTORY_H_ +#define SRC_HISTORY_H_ + +#include + +class History { +private: + std::map values; + size_t max_size; + void clean(); + bool has_default; + double default_value; +public: + History(); + History(size_t); + History(size_t, double); + void push(double, double); + double at(double) const; +}; + +#endif /* SRC_HISTORY_H_ */ diff --git a/src-i386/history.o b/src-i386/history.o new file mode 100644 index 0000000000000000000000000000000000000000..f30576189beffdcea28cf89fdebab8e476e7b83d GIT binary patch literal 578721 zcmeFa3w%`7)i!=67YN~!h@fCWM?s5^J}Y9)$E(}FG;Ji=luDttukVNp8ScwUt!Jbxge~5@5jgSD=n+-PR{GY zXMbtsybH<#3a|*DrU54($b_ z6nT{24Vpa08&(~Gc(-Uc#v6_&@RM^8@6*6tr}IX_N`C#o^=R@KZzQfbAo1?kaEv!< z`oRI0?jc^Z!MstpI>8i1Q@@P?vtMNb0P z2HbpsbILbZrZ_6e+wRF*7Lgr>aJztOFnGfO+3}l!>jmykfkX4k{VEt%DmuwacHl)i zcz(kPop%~=PZ_)sr6MIEXAW?^0!Q5)w{s*RI~MV-_vDQ#j!L*qz`bMeMwOn+58PHw z9_Nh(W&bMzu2;kH{Kg`3MIzpPz~$Ym`*SQV%S!_HjwX-u#+8nS2@IWxq;7Ub7~T@rD9HUEWp= z$9O}5u#S5UxVbuSD4;Y%bj=>%ZWK7D9)-}r;5YjqJ0J1n4H|w`&}mt#4c=f(&u=Mk z^1<^PQtB_+xl+UN{DvZOhfey<0q#+QH83m5!zqynBI537pFt3Cisn@xIeV?zXIAfpdAI zLD}z{A!;me^1<^PRrDkKtV$!yAgrbb33&`y~+4&>j zW*NM(sO&FE;H+<2R*S(K59;+J37mZJ{Kl1u0P#)(?k0mbp-hncz|8^fL4!9D(|Oyx 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"history.h" + +#endif /* MALARIASIMULATION_TYPES_H_ */ diff --git a/src-i386/mosquito_biology.cpp b/src-i386/mosquito_biology.cpp new file mode 100644 index 00000000..8e706fa2 --- /dev/null +++ b/src-i386/mosquito_biology.cpp @@ -0,0 +1,54 @@ +/* + * mosquito_biology.cpp + * + * Created on: 11 Jun 2020 + * Author: gc1610 + */ + +#include +#include "mosquito_biology.h" + +//[[Rcpp::export]] +double carrying_capacity( + const size_t timestep, + const bool model_seasonality, + const double g0, + const std::vector& g, + const std::vector& h, + const double K0, + const double R_bar, + const double rainfall_floor +) { + if (model_seasonality) { + double r = rainfall(timestep, g0, g, h, rainfall_floor); + return K0 * r / R_bar; + } + return K0; +} + +//[[Rcpp::export]] +double eggs_laid( + double beta, + double mu, + double f +) { + auto eov = beta / mu * (exp(mu / f) - 1); + return eov * mu * exp(-mu / f) / (1 - exp(-mu / f)); +} + +//[[Rcpp::export]] +double rainfall( + const size_t t, + const double g0, + const std::vector& g, + const std::vector& h, + const double floor +) { + double result = g0; + for (auto i = 0u; i < g.size(); ++i) { + result += + g[i] * cos(2 * M_PI * t * (i + 1) / 365) + + h[i] * sin(2 * M_PI * t * (i + 1) / 365); + } + return std::max(result, floor); +} diff --git a/src-i386/mosquito_biology.h b/src-i386/mosquito_biology.h new file mode 100644 index 00000000..cf4ceb73 --- /dev/null +++ b/src-i386/mosquito_biology.h @@ -0,0 +1,34 @@ +/* + * mosquito_biology.h + * + * Created on: 11 Jun 2020 + * Author: gc1610 + */ + +#ifndef SRC_MOSQUITO_BIOLOGY_H_ +#define SRC_MOSQUITO_BIOLOGY_H_ + +#include + +double carrying_capacity( + const size_t, + const bool, + const double, + const std::vector&, + const std::vector&, + const double, + const double, + const double +); + +double rainfall( + const size_t, + const double, + const std::vector&, + const std::vector&, + const double +); + +double eggs_laid(double, double, double); + +#endif /* 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z*geN@ST#sGI5dQ_u_`3KSxZ^L>`)A=Bvwia=M3aech}r<%Pm&ya56ZiSVSPVlT>*~ z8)o5@&d6rVm9v~HQFI!1TXT1gmwR^U8;a9+Kj*cnJC8a!dxf2&qU98xvjXKlC9JB| kYz@e&U9<6sUuw@?@bj$v7DBF)mOt +#include "solver.h" + +Solver::Solver( + const std::vector& init, + const integration_function_t& eqs, + double r_tol, + double a_tol, + size_t max_steps + ) : + state(init), + eqs(eqs), + r_tolerance(r_tol), + a_tolerance(a_tol), + observer(Observer(max_steps, eqs)) +{ + rk = boost::numeric::odeint::make_dense_output( + a_tolerance, + r_tolerance, + boost::numeric::odeint::runge_kutta_dopri5() + ); +} + +void Solver::step() { + boost::numeric::odeint::integrate_adaptive( + rk, + std::cref(eqs), + state, + t, + t + dt, + dt, + std::ref(observer) + ); + observer.reset(); + ++t; +} + +//[[Rcpp::export]] +std::vector solver_get_states(Rcpp::XPtr solver) { + return solver->state; +} + +//[[Rcpp::export]] +void solver_step(Rcpp::XPtr solver) { + solver->step(); +} diff --git a/src-i386/solver.h b/src-i386/solver.h new file mode 100644 index 00000000..8857d422 --- /dev/null +++ b/src-i386/solver.h @@ -0,0 +1,84 @@ +/* + * solver.h + * + * Created on: 18 Mar 2020 + * Author: gc1610 + */ + +#ifndef SRC_SOLVER_H_ +#define SRC_SOLVER_H_ + +#pragma GCC diagnostic ignored "-Wdeprecated-declarations" +// [[Rcpp::depends(BH)]] +#include +#pragma GCC diagnostic pop + +#include +#include + +using state_t = std::vector; +using integration_function_t = std::function; + +class Observer { + size_t steps; + size_t max_steps; + integration_function_t eqs; +public: + Observer(size_t max_steps, const integration_function_t& eqs) : + steps(0u), max_steps(max_steps), eqs(eqs) { } + void operator()( const state_t &x , double t ) + { + if (++steps > max_steps) { + Rcpp::Rcout << "steps: " << steps; + Rcpp::Rcout << ", t: " << t; + for (auto i = 0u; i < x.size(); ++i) { + Rcpp::Rcout << ", x[" << i << "]:" << x[i]; + } + state_t dx(x.size()); + eqs(x, dx, t); + for (auto i = 0u; i < dx.size(); ++i) { + Rcpp::Rcout << ", dx[" << i << "]:" << dx[i]; + } + Rcpp::Rcout << std::endl; + Rcpp::stop("Too much work"); + } + } + void reset() { + steps = 0; + } + size_t get_steps() { + return steps; + } +}; + +/* + * Solver class + * + * Interfaces with the boost::odeint to solve mosquito dynamics defined by a + * system of equations `eqs` + */ +struct Solver { + Solver( + const std::vector& init, + const integration_function_t& eqs, + const double r_tol, + const double a_tol, + const size_t max_steps + ); + //solver fields + boost::numeric::odeint::dense_output_runge_kutta< + boost::numeric::odeint::controlled_runge_kutta< + boost::numeric::odeint::runge_kutta_dopri5 + > + >rk; + void step(); + double t = 0.; + const double dt = 1.; + state_t state; + integration_function_t eqs; + double r_tolerance; + double a_tolerance; + Observer observer; +}; + +#endif /* SRC_SOLVER_H_ */ diff --git a/src-i386/solver.o b/src-i386/solver.o new file mode 100644 index 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00000000..a278e449 --- /dev/null +++ b/src-i386/test-random.cpp @@ -0,0 +1,50 @@ +// -*- mode: C++; c-indent-level: 4; c-basic-offset: 4; indent-tabs-mode: nil; -*- +/* + * test-random.cpp + * + * Created on: 12 Aug 2020 + * Author: gc1610 + */ + + +#include +#include +#include +#include "Random.h" + +void set_seed(double seed) { + Rcpp::Environment base_env("package:base"); + Rcpp::Function set_seed_r = base_env["set.seed"]; + set_seed_r(std::floor(std::fabs(seed))); +} + +context("Random is sane") { + test_that("Bernoulli produces the right size, range of values, no duplicates") { + auto& random = Random::get_instance(); + set_seed(42); + auto indices = random.bernoulli(1000, .5); + expect_true(indices.size() == 486u); + for (auto i : indices) { + expect_true(i < 1000u); + expect_true(i >= 0u); + } + auto values = std::unordered_set(indices.begin(), indices.end()); + expect_true(indices.size() == values.size()); + } + +} + +context("Sample is sane") { + test_that("Sample produces the right size") { + auto& random = Random::get_instance(); + set_seed(42); + auto indices = random.sample(1000, 500, false); + expect_true(indices.size() == 500u); + for (auto i : indices) { + expect_true(i < 1000u); + expect_true(i >= 0u); + } + auto values = std::unordered_set(indices.begin(), indices.end()); + expect_true(indices.size() == values.size()); + } +} diff --git a/src-i386/test-random.o b/src-i386/test-random.o new file mode 100644 index 0000000000000000000000000000000000000000..7bb8a821ef6f8c16740c9741a17e0ae1a71f565e GIT binary patch literal 1282996 zcmeFa4|ttrUgv$<$zZ7&h?v2O5ue2lMvR@4^Z#@^cwh=<*bJM+3~yiTU^7;9uJTbcd*&U2sh z{O&&;-)k?g_j<4Q^1gUD>3Kfq_kDi%zvuq<+)wX=nKdcGqksFYshhuD{%S~V7}&mV zK>jpg@;g$gg&$s(noX~*e)D6iQmH7_)w7{@+rYLO#Ag%7C?_AdHs-)ml~mWvhCBA| zRah$ZA?sh&e+;I2WNRFYVa&_A?mO+WXMmQa+ zy6rj3p6IqXT&$Zf>)(pM>)~E=bT{m=6K?WbQmHiDvf&=$ccfe8QZy^EW#2mn#=64f#i3KsRsaKhcdGuBw|aSm`Uet#GGZ-F(^d zBZA90_Nx9CGS>BpZnwi#bqjue-U@ft)h(1Wn5YNIr#l^cRo!C7;zW0!!&P;Qd8@pM 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zQEBF*2^{0qL}R(>yzajvt(94({A6DBS}mt1f?_5>;f;ZF3POm$>Yw=8WMZREi zutUvGxn?q=hq!?GmO3Sh$HStbS*2Lp`m-i2NmKw`a`r=s*b9jaU{RQAYxE2%e$F>L z%-52~Oyl#5IcB+4 +#include "history.h" + +context("History") { + test_that("Can get history at exact time point") { + History h; + h.push(1., 1.); + h.push(1.5, 4.); + expect_true(h.at(1.) == 1.); + } + + test_that("Can get history at interpolated time point") { + History h; + h.push(0., 1.); + h.push(4., 2.); + expect_true(h.at(1.5) == 2.); + } + + test_that("Errors gracefully when I search before the history") { + History h; + h.push(0., 1.); + h.push(4., 2.); + expect_error(h.at(0.)); + } + + test_that("Errors gracefully when I search after the history") { + History h; + h.push(0., 1.); + h.push(4., 2.); + expect_error(h.at(4.)); + } + + test_that("Can restrict size of history") { + History h(2); + h.push(3, 2.5); + h.push(0., 1.); + h.push(4., 2.); + expect_error(h.at(1)); + } +} diff --git a/src-i386/test_history.o b/src-i386/test_history.o new file 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zy!6C%xrSHf!tkA&(tG@T(30FeyoV>jK&EsJ+T#T5c!xkcXC2@Qt&#k&x4W#mbFQn- zjQCELUVPN0MAD*9?($uj&GCB1#Nx^YT!1mC_4e5n_`8C7-W8^-e29!ceKTlM$~-#O zWY-ww5qU^eQvq1cG+Gz$9BRyexL&M!8C4~%x}-k=h!NAN9UsKfDCv8P^=*Yo3(|ujVOD++r2vkDHPpP!M76c4{bX#v2l*luTA(|Q0HQ2s}mot{=6n> z(Zq9pI$SGLe0i3?%&@+KPO0QYYr6GTE2A_f*-U$J0(4LzBD|+ZuU}I++Y-z9Y} +#include "Random.h" +#include + +//[[Rcpp::export]] +void random_seed(size_t seed) { + Random::get_instance().seed(seed); +} + +//[[Rcpp::export]] +std::vector bernoulli_multi_p_cpp(const std::vector p) { + auto values = Random::get_instance().bernoulli_multi_p(p); + for (auto i = 0u; i < values.size(); ++i) { + values[i]++; + } + return values; +} + +//[[Rcpp::export]] +std::vector bitset_index_cpp( + Rcpp::XPtr a, + Rcpp::XPtr b + ) { + auto values = std::vector(); + auto i = 1u; + for (const auto& v : *a) { + if (b->find(v) != b->cend()) { + values.push_back(i); + } + ++i; + } + return values; +} + +//[[Rcpp::export(rng = false)]] +Rcpp::IntegerVector fast_weighted_sample( + size_t size, + std::vector probs + ) { + Rcpp::IntegerVector values(size); + Random::get_instance().prop_sample_bucket( + size, + probs, + INTEGER(values) + ); + values = values + 1; + return values; +} diff --git a/src-i386/utils.o b/src-i386/utils.o new file mode 100644 index 0000000000000000000000000000000000000000..11361f3f7900b3d9556b10e2d86d0ecb97a39d49 GIT binary patch literal 3518277 zcmZ_13v{JdcGsymvQu#sM>L9~7~$MFilaD+`@SDe;ap6`sW^%woJvPDigVjhOkrw_ z=oCg{gb_y5OUqN!qt&D7Rnw#C(RgZ%rbl>0Q#3VAVT37+#v_a{g%PG`L{k{i2qPL{ zgb~gB_Wky~XP<}8TDDZWzq|k6KIeSr{h0dP{tx#M-v7++?s?>AG^K&U+sU)^|UrVS@!?lm*yvn&G~v#}-S>LNb@M@~5~c5IO1D(^;!kw1!VRmvu5Q_nKhfQQ zdo0u~S0j5pKkCOz+uusTOJC9LgBuHVD;3Y4o<{<%ty`@`@tlWy zF4V0yBHh!0y|!+xw^sGiP5eCvw-D$)JmcrTB@(m+_nLBd^1WtHzWMO9 z&u#Jd!v}hMc9fII74DPuy!U+L{C(rcdVAhmALO^Jm}~n{uY248pY;#-_8cnLE+?hD zYWVND_%RIk9b>QUZy{f{36g`$!`aZ*E#&J}^GAul@qo+h6^gbX65R>7p}*k#P_AYj z$-zwp_A=dK!9Jhp&Iep(uUN4OC%Tv59*J~Id0QaJ@0SC6nQqA|@kMtt;4NX$b;7&d0`;qC^z5FNsjs#rhZ^KJB(apns80j`D 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z0syXc)wXgq7dA)#7R&df`eaSAgG~n_oE6QG#l@j2Jg=V>VHbiPGabM{- zmSLDK7qbHl!1pE8EdT~z_WH&I3xu$nB}@V=>Hn&c)q7`$Q-Z+@E00SjGA=c!#y-xg z9C?8B*W$nqfg+E=KRHSB25%mX~V z0s5rx(Z$E=@?r&rOBH6hmcq>g9+rlH?ePqT60bbXb-sWXP*Jn{i{%=}mX0;7mb|Yo zK=cA9qPWu5c;;s>P@4N?eTNre(Gf5-Fhg(fllfwcf0xYCywPy8AZCDZJHEsJ0|<9i zdoOpN*I)0atHVs+37ONoc-kSmvFf@iFX1YJ)N8r^+O50uhwk6J+z^Q34v)@~VMZH% s3GalD$9RHdbbY-ye{NhYh)Ye`0G3wBkGhY^)Fb2i Date: Mon, 3 Oct 2022 11:42:14 +0100 Subject: [PATCH 05/32] Reduce mixed transmission with testing * Add rdt testing parameters * Update biting_process to consider rdt testing for mixing --- R/biting_process.R | 2 +- tests/testthat/test-biting-integration.R | 60 ++++++++++++++++++++++++ 2 files changed, 61 insertions(+), 1 deletion(-) diff --git a/R/biting_process.R b/R/biting_process.R index 78650944..eb82b883 100644 --- a/R/biting_process.R +++ b/R/biting_process.R @@ -153,7 +153,7 @@ simulate_bites <- function( } return(e) } - ) * mixing[[match_timestep(mixing_tt, timestep)]] + ) * mixing ) renderer$render(paste0('EIR_', species_name), species_eir, timestep) diff --git a/tests/testthat/test-biting-integration.R b/tests/testthat/test-biting-integration.R index 72b62f0b..30e38760 100644 --- a/tests/testthat/test-biting-integration.R +++ b/tests/testthat/test-biting-integration.R @@ -247,3 +247,63 @@ test_that('rdt_detectable adjusts correctly with identity parameters', { expect_equal(rdt_prev, 0.5) }) + +test_that('simulate_bites can halve the mixed transmission for 50% rdt detection', { + population <- 4 + timestep <- 5 + renderer <- individual::Render$new(5) + parameters <- get_parameters( + list(human_population = population, mixing_rdt = TRUE) + ) + events <- create_events(parameters) + variables <- create_variables(parameters) + + mock_rdt <- mockery::mock(.5) # 50% + mock_foim <- mockery::mock(1) + mock_pois <- mockery::mock(.3) + mock_a <- mockery::mock(.3) + mock_psi <- mockery::mock(rep(1, 4)) + + mockery::stub(simulate_bites, 'rdt_detectable', mock_rdt) + mockery::stub(simulate_bites, 'calculate_foim', mock_foim) + mockery::stub(simulate_bites, 'rpois', mock_pois) + mockery::stub(simulate_bites, '.human_blood_meal_rate', mock_a) + mockery::stub(simulate_bites, 'unique_biting_rate', mock_psi) + models <- parameterise_mosquito_models(parameters) + solvers <- parameterise_solvers(models, parameters) + lagged_foim <- list(LaggedValue$new(12.5, .001), LaggedValue$new(12.5, .01)) + lagged_eir <- list(list(LaggedValue$new(12, 10)), list(LaggedValue$new(12, 10))) + age <- c(20, 24, 5, 39) * 365 + bitten <- simulate_bites( + renderer, + solvers, + models, + variables, + events, + age, + parameters, + timestep, + lagged_foim, + lagged_eir, + c(0.2, 0.8), + 2 + ) + + mockery::expect_args(mock_foim, 1, .3, c(.0005, .01), c(.2, .8)) + mockery::expect_args(mock_pois, 1, 1, 9) # = 10 * .2 * .5 + 10 * .8 +}) + +test_that('rdt_detectable adjusts correctly with identity parameters', { + population <- 4 + parameters <- get_parameters( + list(human_population = population, rdt_intercept = 0, rdt_coeff = 1) + ) + variables <- create_variables(parameters) + + mock_detected <- mockery::mock(individual::Bitset$new(4)$insert(c(1, 2))) # 50% + + mockery::stub(rdt_detectable, 'calculate_detected', mock_detected) + rdt_prev <- rdt_detectable(variables, parameters, 1) + + expect_equal(rdt_prev, 0.5) +}) From 4a58966a8a1d4ee0e813d3db498f14d393fdb6ec Mon Sep 17 00:00:00 2001 From: Giovanni Charles Date: Thu, 6 Oct 2022 10:12:35 +0100 Subject: [PATCH 06/32] Remove platform specific build files --- .gitignore | 1 + src-i386/Makevars | 2 - src-i386/Random.cpp | 131 ------------- src-i386/Random.h | 65 ------- src-i386/Random.o | Bin 1078027 -> 0 bytes src-i386/RcppExports.cpp | 290 ----------------------------- src-i386/RcppExports.o | Bin 4156720 -> 0 bytes src-i386/adult_mosquito_eqs.cpp | 109 ----------- src-i386/adult_mosquito_eqs.h | 41 ---- src-i386/adult_mosquito_eqs.o | Bin 791393 -> 0 bytes src-i386/aquatic_mosquito_eqs.cpp | 151 --------------- src-i386/aquatic_mosquito_eqs.h | 86 --------- src-i386/aquatic_mosquito_eqs.o | Bin 638074 -> 0 bytes src-i386/history.cpp | 72 ------- src-i386/history.h | 28 --- src-i386/history.o | Bin 578721 -> 0 bytes src-i386/malariasimulation_types.h | 17 -- src-i386/mosquito_biology.cpp | 54 ------ src-i386/mosquito_biology.h | 34 ---- src-i386/mosquito_biology.o | Bin 24500 -> 0 bytes src-i386/solver.cpp | 53 ------ src-i386/solver.h | 84 --------- src-i386/solver.o | Bin 1620023 -> 0 bytes src-i386/test-random.cpp | 50 ----- src-i386/test-random.o | Bin 1282996 -> 0 bytes src-i386/test-runner.cpp | 8 - src-i386/test-runner.o | Bin 7654712 -> 0 bytes src-i386/test_history.cpp | 47 ----- src-i386/test_history.o | Bin 177414 -> 0 bytes src-i386/utils.cpp | 49 ----- src-i386/utils.o | Bin 3518277 -> 0 bytes 31 files changed, 1 insertion(+), 1371 deletions(-) delete mode 100644 src-i386/Makevars delete mode 100644 src-i386/Random.cpp delete mode 100644 src-i386/Random.h delete mode 100644 src-i386/Random.o delete mode 100644 src-i386/RcppExports.cpp delete mode 100644 src-i386/RcppExports.o delete mode 100644 src-i386/adult_mosquito_eqs.cpp delete mode 100644 src-i386/adult_mosquito_eqs.h delete mode 100644 src-i386/adult_mosquito_eqs.o delete mode 100644 src-i386/aquatic_mosquito_eqs.cpp delete mode 100644 src-i386/aquatic_mosquito_eqs.h delete mode 100644 src-i386/aquatic_mosquito_eqs.o delete mode 100644 src-i386/history.cpp delete mode 100644 src-i386/history.h delete mode 100644 src-i386/history.o delete mode 100644 src-i386/malariasimulation_types.h delete mode 100644 src-i386/mosquito_biology.cpp delete mode 100644 src-i386/mosquito_biology.h delete mode 100644 src-i386/mosquito_biology.o delete mode 100644 src-i386/solver.cpp delete mode 100644 src-i386/solver.h delete mode 100644 src-i386/solver.o delete mode 100644 src-i386/test-random.cpp delete mode 100644 src-i386/test-random.o delete mode 100644 src-i386/test-runner.cpp delete mode 100644 src-i386/test-runner.o delete mode 100644 src-i386/test_history.cpp delete mode 100644 src-i386/test_history.o delete mode 100644 src-i386/utils.cpp delete mode 100644 src-i386/utils.o diff --git a/.gitignore b/.gitignore index eb4ff0ee..a598d987 100644 --- a/.gitignore +++ b/.gitignore @@ -12,3 +12,4 @@ doc inst/doc /doc/ /Meta/ +src-i386 diff --git a/src-i386/Makevars b/src-i386/Makevars deleted file mode 100644 index 78316f85..00000000 --- a/src-i386/Makevars +++ /dev/null @@ -1,2 +0,0 @@ -CXX_STD = CXX14 -PKG_CXXFLAGS = -I../inst/include/ diff --git a/src-i386/Random.cpp b/src-i386/Random.cpp deleted file mode 100644 index fad22963..00000000 --- a/src-i386/Random.cpp +++ /dev/null @@ -1,131 +0,0 @@ -// -*- mode: C++; c-indent-level: 4; c-basic-offset: 4; indent-tabs-mode: nil; -*- -/* - * Random.cpp - * - * Created on: 6 Aug 2020 - * Author: gc1610 - */ - -#include "Random.h" -#include - -void Random::seed(size_t seed) { - rng = dqrng::generator(seed); -} - -std::vector Random::bernoulli(size_t size, double p) { - auto successes = R::rbinom(size, p); - return sample(size, successes, false); -} - -std::vector Random::bernoulli_multi_p(const std::vector p) { - auto successes = std::vector(); - Rcpp::NumericVector r = Rcpp::runif(p.size()); - for (auto i = 0u; i < p.size(); ++i) { - if (r[i] < p[i]) { - successes.push_back(i); - } - } - return successes; -} - -std::vector Random::sample(size_t n, size_t size, bool replacement) { - // probs one_based - Rcpp::IntegerVector res = Rcpp::sample(n, size, replacement, R_NilValue, false); - return Rcpp::as>(res); -} - -void Random::prop_sample_bucket( - size_t size, - std::vector probs, - int* result - ) { - auto n = probs.size(); - auto total = std::accumulate( - probs.begin(), - probs.end(), - 0. - ); - - // create alias table - auto dividing_probs = probs; - auto alternative_index = std::vector(n); - - auto bucket_weight = total / n; - - // get first heavy - auto heavy = 0u; - while (heavy < n && probs[heavy] <= bucket_weight) - ++heavy; - - // all probabilities are the same - if (heavy == n) { - for (auto i = 0; i < size; ++i) { - *result = (*rng)(n); - ++result; - } - return; - } - - // get first light - auto light = 0u; - while (probs[light] > bucket_weight) - ++light; - - auto residual = probs[heavy]; - size_t next_heavy; - double packing_weight; - while (true) { - if (residual > bucket_weight) { - // check if we're done - if (light == n) { - break; - } - - // pack a light bucket with the residual - alternative_index[light] = heavy; - - // update residual - packing_weight = (light == n) ? 0 : probs[light]; - residual = residual + packing_weight - bucket_weight; - - // find the next light element - ++light; - while(light < n && probs[light] > bucket_weight) - ++light; - } else { - // find the next heavy - next_heavy = heavy + 1; - while(next_heavy < n && probs[next_heavy] <= bucket_weight) - ++next_heavy; - - dividing_probs[heavy] = residual; - - // check if we're done - if (next_heavy == n) { - alternative_index[heavy] = heavy; - break; - } - - // pack this (ex-)heavy bucket with the next heavy - alternative_index[heavy] = next_heavy; - // update the residual for the next heavy - residual = residual + probs[next_heavy] - bucket_weight; - heavy = next_heavy; - } - } - - // normalise the dividing_probs - for (auto& p : dividing_probs) { - p /= bucket_weight; - } - - // sample - for (auto i = 0; i < size; ++i) { - size_t bucket = (*rng)(n); - double acceptance = dqrng::uniform01((*rng)()); - *result = (acceptance < dividing_probs[bucket]) ? bucket : - alternative_index[bucket]; - ++result; - } -} diff --git a/src-i386/Random.h b/src-i386/Random.h deleted file mode 100644 index b6e15039..00000000 --- a/src-i386/Random.h +++ /dev/null @@ -1,65 +0,0 @@ -// -*- mode: C++; c-indent-level: 4; c-basic-offset: 4; indent-tabs-mode: nil; -*- -/* - * Random.h - * - * Created on: 6 Aug 2020 - * Author: gc1610 - */ - -#ifndef SRC_RANDOM_H_ -#define SRC_RANDOM_H_ - -// [[Rcpp::depends(dqrng, sitmo, BH)]] -#include -#include -#include -#include - -class RandomInterface { -public: - virtual std::vector bernoulli(size_t, double) = 0; - virtual std::vector bernoulli_multi_p(const std::vector) = 0; - virtual std::vector sample(size_t, size_t, bool) = 0; - virtual void prop_sample_bucket( - size_t size, - std::vector probs, - int* result - ) = 0; - virtual void seed(size_t) = 0; - virtual ~RandomInterface() = default; -}; - -class Random : public RandomInterface { - dqrng::rng64_t rng; -public: - static Random& get_instance() { - static Random instance; - return instance; - } - virtual void seed(size_t); - virtual std::vector bernoulli(size_t, double); - virtual std::vector bernoulli_multi_p(const std::vector); - virtual std::vector sample(size_t, size_t, bool); - - // Performs a weighted sample of `probs.size()` integers with: - // * a distribution of `probs` - // * replacement - // * dqrng::xoroshiro128plus as the random number generator - // - // please see https://arxiv.org/pdf/1903.00227.pdf sweepingAliasTable for the - // method. - virtual void prop_sample_bucket( - size_t, - std::vector, - int* - ); - virtual ~Random() = default; - Random(const Random &other) = delete; - Random(Random &&other) = delete; - Random& operator=(const Random &other) = delete; - Random& operator=(Random &&other) = delete; -private: - Random() : rng(dqrng::generator(42)) {}; -}; - -#endif /* SRC_RANDOM_H_ */ diff --git a/src-i386/Random.o b/src-i386/Random.o deleted file mode 100644 index 0e7a279e88998e8cfe62ac78eb2f7adb7c09e2e5..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 1078027 zcmb@v4}4tJdFMTH1SrJ8g1XeDDxFe=x>W0o=KoMFnNZtRsc^MKP?su12HCMw#a3ZPgFv3y->?Ar~|H^0RH)2Ys$WxZ<#*33g6@L5fDPA|K2%NBk5E`T$AiC?}F1Wh+R?D9FJK))q@?7+|op4uvC-y^9 zD2iX9Rg$t6 zf1*1LcY~{2v@3|{&N%iW-BQl7C%PvbF48U8=_k6gaNVwMIb)TBG~8LoUZh*jSq*~d zHn!X4G}0}Xto#t&C2;q+x|NLOM-{Hwu@~u9a#s8n!}Y@LH})h3k#5B=_uJqecXeAc 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muSEXP, SEXP tauSEXP, SEXP susceptibleSEXP, SEXP foimSEXP) { -BEGIN_RCPP - Rcpp::RObject rcpp_result_gen; - Rcpp::RNGScope rcpp_rngScope_gen; - Rcpp::traits::input_parameter< Rcpp::XPtr >::type growth_model(growth_modelSEXP); - Rcpp::traits::input_parameter< double >::type mu(muSEXP); - Rcpp::traits::input_parameter< double >::type tau(tauSEXP); - Rcpp::traits::input_parameter< double >::type susceptible(susceptibleSEXP); - Rcpp::traits::input_parameter< double >::type foim(foimSEXP); - rcpp_result_gen = Rcpp::wrap(create_adult_mosquito_model(growth_model, mu, tau, susceptible, foim)); - return rcpp_result_gen; -END_RCPP -} -// adult_mosquito_model_update -void adult_mosquito_model_update(Rcpp::XPtr model, double mu, double foim, double susceptible, double f); -RcppExport SEXP _malariasimulation_adult_mosquito_model_update(SEXP modelSEXP, SEXP muSEXP, SEXP foimSEXP, SEXP susceptibleSEXP, SEXP fSEXP) { -BEGIN_RCPP - Rcpp::RNGScope rcpp_rngScope_gen; - Rcpp::traits::input_parameter< Rcpp::XPtr >::type model(modelSEXP); - Rcpp::traits::input_parameter< double >::type mu(muSEXP); - Rcpp::traits::input_parameter< double >::type foim(foimSEXP); - Rcpp::traits::input_parameter< double >::type susceptible(susceptibleSEXP); - Rcpp::traits::input_parameter< double >::type f(fSEXP); - adult_mosquito_model_update(model, mu, foim, susceptible, f); - return R_NilValue; -END_RCPP -} -// create_adult_solver -Rcpp::XPtr create_adult_solver(Rcpp::XPtr model, std::vector init, double r_tol, double a_tol, size_t max_steps); -RcppExport SEXP _malariasimulation_create_adult_solver(SEXP modelSEXP, SEXP initSEXP, SEXP r_tolSEXP, SEXP a_tolSEXP, SEXP max_stepsSEXP) { -BEGIN_RCPP - Rcpp::RObject rcpp_result_gen; - Rcpp::RNGScope rcpp_rngScope_gen; - Rcpp::traits::input_parameter< Rcpp::XPtr >::type model(modelSEXP); - Rcpp::traits::input_parameter< std::vector >::type init(initSEXP); - Rcpp::traits::input_parameter< double >::type r_tol(r_tolSEXP); - Rcpp::traits::input_parameter< double >::type a_tol(a_tolSEXP); - Rcpp::traits::input_parameter< size_t >::type max_steps(max_stepsSEXP); - rcpp_result_gen = Rcpp::wrap(create_adult_solver(model, init, r_tol, a_tol, max_steps)); - return rcpp_result_gen; -END_RCPP -} -// create_aquatic_mosquito_model -Rcpp::XPtr create_aquatic_mosquito_model(double beta, double de, double mue, double K0, double gamma, double dl, double mul, double dp, double mup, size_t total_M, bool model_seasonality, double g0, std::vector g, std::vector h, double R_bar, double mum, double f, double rainfall_floor); -RcppExport SEXP _malariasimulation_create_aquatic_mosquito_model(SEXP betaSEXP, SEXP deSEXP, SEXP mueSEXP, SEXP K0SEXP, SEXP gammaSEXP, SEXP dlSEXP, SEXP mulSEXP, SEXP dpSEXP, SEXP mupSEXP, SEXP total_MSEXP, SEXP model_seasonalitySEXP, SEXP g0SEXP, SEXP gSEXP, SEXP hSEXP, SEXP R_barSEXP, SEXP mumSEXP, SEXP fSEXP, SEXP rainfall_floorSEXP) { -BEGIN_RCPP - Rcpp::RObject rcpp_result_gen; - Rcpp::RNGScope rcpp_rngScope_gen; - Rcpp::traits::input_parameter< double >::type beta(betaSEXP); - Rcpp::traits::input_parameter< double >::type de(deSEXP); - Rcpp::traits::input_parameter< double >::type mue(mueSEXP); - Rcpp::traits::input_parameter< double >::type K0(K0SEXP); - Rcpp::traits::input_parameter< double >::type gamma(gammaSEXP); - Rcpp::traits::input_parameter< double >::type dl(dlSEXP); - Rcpp::traits::input_parameter< double >::type mul(mulSEXP); - Rcpp::traits::input_parameter< double >::type dp(dpSEXP); - Rcpp::traits::input_parameter< double >::type mup(mupSEXP); - Rcpp::traits::input_parameter< size_t >::type total_M(total_MSEXP); - Rcpp::traits::input_parameter< bool >::type model_seasonality(model_seasonalitySEXP); - Rcpp::traits::input_parameter< double >::type g0(g0SEXP); - Rcpp::traits::input_parameter< std::vector >::type g(gSEXP); - Rcpp::traits::input_parameter< std::vector >::type h(hSEXP); - Rcpp::traits::input_parameter< double >::type R_bar(R_barSEXP); - Rcpp::traits::input_parameter< double >::type mum(mumSEXP); - Rcpp::traits::input_parameter< double >::type f(fSEXP); - Rcpp::traits::input_parameter< double >::type rainfall_floor(rainfall_floorSEXP); - rcpp_result_gen = Rcpp::wrap(create_aquatic_mosquito_model(beta, de, mue, K0, gamma, dl, mul, dp, mup, total_M, model_seasonality, g0, g, h, R_bar, mum, f, rainfall_floor)); - return rcpp_result_gen; -END_RCPP -} -// aquatic_mosquito_model_update -void aquatic_mosquito_model_update(Rcpp::XPtr model, size_t total_M, double f, double mum); -RcppExport SEXP _malariasimulation_aquatic_mosquito_model_update(SEXP modelSEXP, SEXP total_MSEXP, SEXP fSEXP, SEXP mumSEXP) { -BEGIN_RCPP - Rcpp::RNGScope rcpp_rngScope_gen; - Rcpp::traits::input_parameter< Rcpp::XPtr >::type model(modelSEXP); - Rcpp::traits::input_parameter< size_t >::type total_M(total_MSEXP); - Rcpp::traits::input_parameter< double >::type f(fSEXP); - Rcpp::traits::input_parameter< double >::type mum(mumSEXP); - aquatic_mosquito_model_update(model, total_M, f, mum); - return R_NilValue; -END_RCPP -} -// create_aquatic_solver -Rcpp::XPtr create_aquatic_solver(Rcpp::XPtr model, std::vector init, double r_tol, double a_tol, size_t max_steps); -RcppExport SEXP _malariasimulation_create_aquatic_solver(SEXP modelSEXP, SEXP initSEXP, SEXP r_tolSEXP, SEXP a_tolSEXP, SEXP max_stepsSEXP) { -BEGIN_RCPP - Rcpp::RObject rcpp_result_gen; - Rcpp::RNGScope rcpp_rngScope_gen; - Rcpp::traits::input_parameter< Rcpp::XPtr >::type model(modelSEXP); - Rcpp::traits::input_parameter< std::vector >::type init(initSEXP); - Rcpp::traits::input_parameter< double >::type r_tol(r_tolSEXP); - Rcpp::traits::input_parameter< double >::type a_tol(a_tolSEXP); - Rcpp::traits::input_parameter< size_t >::type max_steps(max_stepsSEXP); - rcpp_result_gen = Rcpp::wrap(create_aquatic_solver(model, init, r_tol, a_tol, max_steps)); - return rcpp_result_gen; -END_RCPP -} -// create_history -Rcpp::XPtr create_history(size_t size, double default_value); -RcppExport SEXP _malariasimulation_create_history(SEXP sizeSEXP, SEXP default_valueSEXP) { -BEGIN_RCPP - Rcpp::RObject rcpp_result_gen; - Rcpp::RNGScope rcpp_rngScope_gen; - Rcpp::traits::input_parameter< size_t >::type size(sizeSEXP); - Rcpp::traits::input_parameter< double >::type default_value(default_valueSEXP); - rcpp_result_gen = Rcpp::wrap(create_history(size, default_value)); - return rcpp_result_gen; -END_RCPP -} -// history_at -double history_at(Rcpp::XPtr history, double timestep); -RcppExport SEXP _malariasimulation_history_at(SEXP historySEXP, SEXP timestepSEXP) { -BEGIN_RCPP - Rcpp::RObject rcpp_result_gen; - Rcpp::RNGScope rcpp_rngScope_gen; - Rcpp::traits::input_parameter< Rcpp::XPtr >::type history(historySEXP); - Rcpp::traits::input_parameter< double >::type timestep(timestepSEXP); - rcpp_result_gen = Rcpp::wrap(history_at(history, timestep)); - return rcpp_result_gen; -END_RCPP -} -// history_push -void history_push(Rcpp::XPtr history, double value, double timestep); -RcppExport SEXP _malariasimulation_history_push(SEXP historySEXP, SEXP valueSEXP, SEXP timestepSEXP) { -BEGIN_RCPP - Rcpp::RNGScope rcpp_rngScope_gen; - Rcpp::traits::input_parameter< Rcpp::XPtr >::type history(historySEXP); - Rcpp::traits::input_parameter< double >::type value(valueSEXP); - Rcpp::traits::input_parameter< double >::type timestep(timestepSEXP); - history_push(history, value, timestep); - return R_NilValue; -END_RCPP -} -// carrying_capacity -double carrying_capacity(const size_t timestep, const bool model_seasonality, const double g0, const std::vector& g, const std::vector& h, const double K0, const double R_bar, const double rainfall_floor); -RcppExport SEXP _malariasimulation_carrying_capacity(SEXP timestepSEXP, SEXP model_seasonalitySEXP, SEXP g0SEXP, SEXP gSEXP, SEXP hSEXP, SEXP K0SEXP, SEXP R_barSEXP, SEXP rainfall_floorSEXP) { -BEGIN_RCPP - Rcpp::RObject rcpp_result_gen; - Rcpp::RNGScope rcpp_rngScope_gen; - Rcpp::traits::input_parameter< const size_t >::type timestep(timestepSEXP); - Rcpp::traits::input_parameter< const bool >::type model_seasonality(model_seasonalitySEXP); - Rcpp::traits::input_parameter< const double >::type g0(g0SEXP); - Rcpp::traits::input_parameter< const std::vector& >::type g(gSEXP); - Rcpp::traits::input_parameter< const std::vector& >::type h(hSEXP); - Rcpp::traits::input_parameter< const double >::type K0(K0SEXP); - Rcpp::traits::input_parameter< const double >::type R_bar(R_barSEXP); - Rcpp::traits::input_parameter< const double >::type rainfall_floor(rainfall_floorSEXP); - rcpp_result_gen = Rcpp::wrap(carrying_capacity(timestep, model_seasonality, g0, g, h, K0, R_bar, rainfall_floor)); - return rcpp_result_gen; -END_RCPP -} -// eggs_laid -double eggs_laid(double beta, double mu, double f); -RcppExport SEXP _malariasimulation_eggs_laid(SEXP betaSEXP, SEXP muSEXP, SEXP fSEXP) { -BEGIN_RCPP - Rcpp::RObject rcpp_result_gen; - Rcpp::RNGScope rcpp_rngScope_gen; - Rcpp::traits::input_parameter< double >::type beta(betaSEXP); - Rcpp::traits::input_parameter< double >::type mu(muSEXP); - Rcpp::traits::input_parameter< double >::type f(fSEXP); - rcpp_result_gen = Rcpp::wrap(eggs_laid(beta, mu, f)); - return rcpp_result_gen; -END_RCPP -} -// rainfall -double rainfall(const size_t t, const double g0, const std::vector& g, const std::vector& h, const double floor); -RcppExport SEXP _malariasimulation_rainfall(SEXP tSEXP, SEXP g0SEXP, SEXP gSEXP, SEXP hSEXP, SEXP floorSEXP) { -BEGIN_RCPP - Rcpp::RObject rcpp_result_gen; - Rcpp::RNGScope rcpp_rngScope_gen; - Rcpp::traits::input_parameter< const size_t >::type t(tSEXP); - Rcpp::traits::input_parameter< const double >::type g0(g0SEXP); - Rcpp::traits::input_parameter< const std::vector& >::type g(gSEXP); - Rcpp::traits::input_parameter< const std::vector& >::type h(hSEXP); - Rcpp::traits::input_parameter< const double >::type floor(floorSEXP); - rcpp_result_gen = Rcpp::wrap(rainfall(t, g0, g, h, floor)); - return rcpp_result_gen; -END_RCPP -} -// solver_get_states -std::vector solver_get_states(Rcpp::XPtr solver); -RcppExport SEXP _malariasimulation_solver_get_states(SEXP solverSEXP) { -BEGIN_RCPP - Rcpp::RObject rcpp_result_gen; - Rcpp::RNGScope rcpp_rngScope_gen; - Rcpp::traits::input_parameter< Rcpp::XPtr >::type solver(solverSEXP); - rcpp_result_gen = Rcpp::wrap(solver_get_states(solver)); - return rcpp_result_gen; -END_RCPP -} -// solver_step -void solver_step(Rcpp::XPtr solver); -RcppExport SEXP _malariasimulation_solver_step(SEXP solverSEXP) { -BEGIN_RCPP - Rcpp::RNGScope rcpp_rngScope_gen; - Rcpp::traits::input_parameter< Rcpp::XPtr >::type solver(solverSEXP); - solver_step(solver); - return R_NilValue; -END_RCPP -} -// random_seed -void random_seed(size_t seed); -RcppExport SEXP _malariasimulation_random_seed(SEXP seedSEXP) { -BEGIN_RCPP - Rcpp::RNGScope rcpp_rngScope_gen; - Rcpp::traits::input_parameter< size_t >::type seed(seedSEXP); - random_seed(seed); - return R_NilValue; -END_RCPP -} -// bernoulli_multi_p_cpp -std::vector bernoulli_multi_p_cpp(const std::vector p); -RcppExport SEXP _malariasimulation_bernoulli_multi_p_cpp(SEXP pSEXP) { -BEGIN_RCPP - Rcpp::RObject rcpp_result_gen; - Rcpp::RNGScope rcpp_rngScope_gen; - Rcpp::traits::input_parameter< const std::vector >::type p(pSEXP); - rcpp_result_gen = Rcpp::wrap(bernoulli_multi_p_cpp(p)); - return rcpp_result_gen; -END_RCPP -} -// bitset_index_cpp -std::vector bitset_index_cpp(Rcpp::XPtr a, Rcpp::XPtr b); -RcppExport SEXP _malariasimulation_bitset_index_cpp(SEXP aSEXP, SEXP bSEXP) { -BEGIN_RCPP - Rcpp::RObject rcpp_result_gen; - Rcpp::RNGScope rcpp_rngScope_gen; - Rcpp::traits::input_parameter< Rcpp::XPtr >::type a(aSEXP); - Rcpp::traits::input_parameter< Rcpp::XPtr >::type b(bSEXP); - rcpp_result_gen = Rcpp::wrap(bitset_index_cpp(a, b)); - return rcpp_result_gen; -END_RCPP -} -// fast_weighted_sample -Rcpp::IntegerVector fast_weighted_sample(size_t size, std::vector probs); -RcppExport SEXP _malariasimulation_fast_weighted_sample(SEXP sizeSEXP, SEXP probsSEXP) { -BEGIN_RCPP - Rcpp::RObject rcpp_result_gen; - Rcpp::traits::input_parameter< size_t >::type size(sizeSEXP); - Rcpp::traits::input_parameter< std::vector >::type probs(probsSEXP); - rcpp_result_gen = Rcpp::wrap(fast_weighted_sample(size, probs)); - return rcpp_result_gen; -END_RCPP -} - -RcppExport SEXP run_testthat_tests(); - -static const R_CallMethodDef CallEntries[] = { - {"_malariasimulation_create_adult_mosquito_model", (DL_FUNC) &_malariasimulation_create_adult_mosquito_model, 5}, - {"_malariasimulation_adult_mosquito_model_update", (DL_FUNC) &_malariasimulation_adult_mosquito_model_update, 5}, - {"_malariasimulation_create_adult_solver", (DL_FUNC) &_malariasimulation_create_adult_solver, 5}, - {"_malariasimulation_create_aquatic_mosquito_model", (DL_FUNC) &_malariasimulation_create_aquatic_mosquito_model, 18}, - {"_malariasimulation_aquatic_mosquito_model_update", (DL_FUNC) &_malariasimulation_aquatic_mosquito_model_update, 4}, - {"_malariasimulation_create_aquatic_solver", (DL_FUNC) &_malariasimulation_create_aquatic_solver, 5}, - {"_malariasimulation_create_history", (DL_FUNC) &_malariasimulation_create_history, 2}, - {"_malariasimulation_history_at", (DL_FUNC) &_malariasimulation_history_at, 2}, - {"_malariasimulation_history_push", (DL_FUNC) &_malariasimulation_history_push, 3}, - {"_malariasimulation_carrying_capacity", (DL_FUNC) &_malariasimulation_carrying_capacity, 8}, - {"_malariasimulation_eggs_laid", (DL_FUNC) &_malariasimulation_eggs_laid, 3}, - {"_malariasimulation_rainfall", (DL_FUNC) &_malariasimulation_rainfall, 5}, - {"_malariasimulation_solver_get_states", (DL_FUNC) &_malariasimulation_solver_get_states, 1}, - {"_malariasimulation_solver_step", (DL_FUNC) &_malariasimulation_solver_step, 1}, - {"_malariasimulation_random_seed", (DL_FUNC) &_malariasimulation_random_seed, 1}, - {"_malariasimulation_bernoulli_multi_p_cpp", (DL_FUNC) &_malariasimulation_bernoulli_multi_p_cpp, 1}, - {"_malariasimulation_bitset_index_cpp", (DL_FUNC) &_malariasimulation_bitset_index_cpp, 2}, - {"_malariasimulation_fast_weighted_sample", (DL_FUNC) &_malariasimulation_fast_weighted_sample, 2}, - {"run_testthat_tests", (DL_FUNC) &run_testthat_tests, 0}, - {NULL, NULL, 0} -}; - -RcppExport void R_init_malariasimulation(DllInfo *dll) { - R_registerRoutines(dll, NULL, CallEntries, NULL, NULL); - R_useDynamicSymbols(dll, FALSE); -} diff --git a/src-i386/RcppExports.o b/src-i386/RcppExports.o deleted file mode 100644 index 3a44cd2b92de39571240bf369de856c31f52cf9a..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 4156720 zcmZ_14S1#JdDkgi*%hvup1P{58sWaUYO0#SIo}`Y5DsQAs;j1IDuM_@_F#ms!Dx-v zh^#i3$cpT&5m~L#hQVml!H6(;hg`yF!{8l)HfY0O2Jc`7Bf^l?8WBVo%n(#F7-5F& z{_gYM=REiGq362nqtW^4{=fJ0^*-Ov+>3wg*AEcZe*7l~{^S|?X>j0)#XqpLC_idw z|IUGdi@!2Bu>OfII`E744-8}j)14>ge&6En>p^@L`EUPdaNyNHk#k@J?SbjtC!YBu zf5cz|?Lqsm{O6T{&hAI5{_orTbNE*W2X3jo`}lWOnC^U}T=T#o{xt<>L%UFHf27*5 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zW%Y4X%gF(U0%GD|0_#$XY8=h1XgOj~^+lUPL=kci)y&0qi}n&!`$U3slhD*so5_4l zDY>}12~;^{sz4~3e(%aLWGV59_i=J-iK4DI5g#k7h~*9JOL(Z5{IKak3)iC+He+DK zFt4tj(D)r3x;=n29wz)axA>P?xyFB&{5ok@mxo;~H-w0AkN=A#;l0MY+ -#include "adult_mosquito_eqs.h" - -AdultMosquitoModel::AdultMosquitoModel( - AquaticMosquitoModel growth_model, - double mu, - double tau, - double incubating, - double foim - ) : growth_model(growth_model), mu(mu), tau(tau), foim(foim) -{ - for (auto i = 0u; i < tau; ++i) { - lagged_incubating.push(incubating); - } -} - -integration_function_t create_eqs(AdultMosquitoModel& model) { - //create original ode - auto growth_eqs = create_eqs(model.growth_model); - return [&model, growth_eqs](const state_t& x, state_t& dxdt, double t) { - //set submodel total_M - model.growth_model.total_M = - x[get_idx(AdultState::S)] + - x[get_idx(AdultState::E)] + - x[get_idx(AdultState::I)]; - - //run the growth ode - growth_eqs(x, dxdt, t); - - //run the adult ode - auto incubation_survival = exp(-model.mu * model.tau); - - dxdt[get_idx(AdultState::S)] = - .5 * x[get_idx(AquaticState::P)] / model.growth_model.dp //growth to adult female - - x[get_idx(AdultState::S)] * model.foim //infections - - x[get_idx(AdultState::S)] * model.mu; //deaths - - dxdt[get_idx(AdultState::E)] = - x[get_idx(AdultState::S)] * model.foim //infections - - model.lagged_incubating.front() * incubation_survival //survived incubation period - - x[get_idx(AdultState::E)] * model.mu; // deaths - - dxdt[get_idx(AdultState::I)] = model.lagged_incubating.front() * incubation_survival //survived incubation period - - x[get_idx(AdultState::I)] * model.mu; // deaths - }; -} - -//[[Rcpp::export]] -Rcpp::XPtr create_adult_mosquito_model( - Rcpp::XPtr growth_model, - double mu, - double tau, - double susceptible, - double foim - ) { - auto model = new AdultMosquitoModel( - *growth_model, - mu, - tau, - susceptible, - foim - ); - return Rcpp::XPtr(model, true); -} - -//[[Rcpp::export]] -void adult_mosquito_model_update( - Rcpp::XPtr model, - double mu, - double foim, - double susceptible, - double f - ) { - model->mu = mu; - model->foim = foim; - model->growth_model.f = f; - model->growth_model.mum = mu; - model->lagged_incubating.push(susceptible * foim); - if (model->lagged_incubating.size() > 0) { - model->lagged_incubating.pop(); - } -} - -//[[Rcpp::export]] -Rcpp::XPtr create_adult_solver( - Rcpp::XPtr model, - std::vector init, - double r_tol, - double a_tol, - size_t max_steps - ) { - return Rcpp::XPtr( - new Solver( - init, - create_eqs(*model), - r_tol, - a_tol, - max_steps - ), - true - ); -} diff --git a/src-i386/adult_mosquito_eqs.h b/src-i386/adult_mosquito_eqs.h deleted file mode 100644 index 6fc30501..00000000 --- a/src-i386/adult_mosquito_eqs.h +++ /dev/null @@ -1,41 +0,0 @@ -/* - * adult_mosquito_eqs.h - * - * Created on: 17 Mar 2021 - * Author: gc1610 - */ - -#ifndef SRC_ADULT_MOSQUITO_EQS_H_ -#define SRC_ADULT_MOSQUITO_EQS_H_ - -#include -#include "aquatic_mosquito_eqs.h" - -/* - * The adult states are: - * 3 - S - Susceptible - * 4 - E - Incubating - * 5 - I - Infectious - */ -enum class AdultState : size_t {S = 3, E = 4, I = 5}; - -/* - * AdultMosquitoModel - * - * A data structure for storing equation parameters for each timestep - * - * foim, mu and lagged_incubating are updated each timestep - */ -struct AdultMosquitoModel { - AquaticMosquitoModel growth_model; - std::queue lagged_incubating; //last tau values for incubating mosquitos - double mu; //death rate for adult female mosquitoes - const double tau; //extrinsic incubation period - double foim; //force of infection towards mosquitoes - AdultMosquitoModel(AquaticMosquitoModel, double, double, double, double); -}; - -// create a system of equations for the solver -integration_function_t create_eqs(AdultMosquitoModel& model); - -#endif /* SRC_ADULT_MOSQUITO_EQS_H_ */ diff --git a/src-i386/adult_mosquito_eqs.o b/src-i386/adult_mosquito_eqs.o deleted file mode 100644 index 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/dev/null @@ -1,151 +0,0 @@ -/* - * mosquito_ode.cpp - * - * Created on: 11 Jun 2020 - * Author: gc1610 - */ - -#include -#include "aquatic_mosquito_eqs.h" - -integration_function_t create_eqs(AquaticMosquitoModel& model) { - return [&model](const state_t& x, state_t& dxdt, double t) { - auto K = carrying_capacity( - t, - model.model_seasonality, - model.g0, - model.g, - model.h, - model.K0, - model.R_bar, - model.rainfall_floor - ); - auto beta = eggs_laid(model.beta, model.mum, model.f); - auto n_larvae = x[get_idx(AquaticState::E)] + x[get_idx(AquaticState::L)]; - - dxdt[get_idx(AquaticState::E)] = beta * (model.total_M) //new eggs - - x[get_idx(AquaticState::E)] / model.de //growth to late larval stage - - x[get_idx(AquaticState::E)] * model.mue * (1 + n_larvae / K); //early larval deaths - - dxdt[get_idx(AquaticState::L)] = x[get_idx(AquaticState::E)] / model.de //growth from early larval - - x[get_idx(AquaticState::L)] / model.dl //growth to pupal - - x[get_idx(AquaticState::L)] * model.mul * (1 + model.gamma * n_larvae / K); //late larval deaths - - dxdt[get_idx(AquaticState::P)] = x[get_idx(AquaticState::L)] / model.dl //growth to pupae - - x[get_idx(AquaticState::P)] / model.dp //growth to adult - - x[get_idx(AquaticState::P)] * model.mup; // death of pupae - }; -} - -AquaticMosquitoModel::AquaticMosquitoModel( - double beta, - double de, - double mue, - double K0, - double gamma, - double dl, - double mul, - double dp, - double mup, - size_t total_M, - bool model_seasonality, - double g0, - std::vector g, - std::vector h, - double R_bar, - double mum, - double f, - double rainfall_floor - ): - beta(beta), - de(de), - mue(mue), - K0(K0), - gamma(gamma), - dl(dl), - mul(mul), - dp(dp), - mup(mup), - total_M(total_M), - model_seasonality(model_seasonality), - g0(g0), - g(g), - h(h), - R_bar(R_bar), - mum(mum), - f(f), - rainfall_floor(rainfall_floor) - {} - - - -//[[Rcpp::export]] -Rcpp::XPtr create_aquatic_mosquito_model( - double beta, - double de, - double mue, - double K0, - double gamma, - double dl, - double mul, - double dp, - double mup, - size_t total_M, - bool model_seasonality, - double g0, - std::vector g, - std::vector h, - double R_bar, - double mum, - double f, - double rainfall_floor - ) { - auto model = new AquaticMosquitoModel( - beta, - de, - mue, - K0, - gamma, - dl, - mul, - dp, - mup, - total_M, - model_seasonality, - g0, - g, - h, - R_bar, - mum, - f, - rainfall_floor - ); - return Rcpp::XPtr(model, true); -} - -//[[Rcpp::export]] -void aquatic_mosquito_model_update( - Rcpp::XPtr model, - size_t total_M, - double f, - double mum - ) { - model->total_M = total_M; - model->f = f; - model->mum = mum; -} - - -//[[Rcpp::export]] -Rcpp::XPtr create_aquatic_solver( - Rcpp::XPtr model, - std::vector init, - double r_tol, - double a_tol, - size_t max_steps - ) { - return Rcpp::XPtr( - new Solver(init, create_eqs(*model), r_tol, a_tol, max_steps), - true - ); -} diff --git a/src-i386/aquatic_mosquito_eqs.h b/src-i386/aquatic_mosquito_eqs.h deleted file mode 100644 index e7de7e8a..00000000 --- a/src-i386/aquatic_mosquito_eqs.h +++ /dev/null @@ -1,86 +0,0 @@ -/* - * mosquito_ode.h - * - * Created on: 11 Jun 2020 - * Author: gc1610 - */ - -#ifndef SRC_MOSQUITO_ODE_H_ -#define SRC_MOSQUITO_ODE_H_ - -#include -#include -#include -#include "mosquito_biology.h" -#include "solver.h" - -/* - * The states are: - * 0 - E - Early larval stage - * 1 - L - Late larval stage - * 2 - P - Pupal stage - */ -enum class AquaticState : size_t {E, L, P}; - -// Provide a convenience function for getting at the index of an enumeration -template -constexpr auto get_idx(T value) -{ - return static_cast>(value); -} - -/* - * AquaticMosquitoModel - * - * A data structure for storing aquatic mosquito equation parameters for each - * timestep - * - * total_M, biting rate and mortality are updated each timestep - */ -struct AquaticMosquitoModel { - /* Parameters */ - const double beta; //egg laying rate - const double de; //delay for early larval growth - const double mue; //death rate for early larvae - const double K0; //baseline carrying capacity - const double gamma; //carrying capacity parameter for late larvae - const double dl; //delay for late larval growth - const double mul; //death rate for late larvae - const double dp; //delay for for pupal growth - const double mup; //death rate for pupae - size_t total_M; //the number of adult female mosquitos in the model - const bool model_seasonality; //whether to model seasonality - const double g0; //fourier shape parameter - const std::vector g; //fourier shape parameters - const std::vector h; //fourier shape parameters - const double R_bar; //average rainfall - double mum; //adult mortality rate - double f; //biting rate - double rainfall_floor; //minimum rainfall - - AquaticMosquitoModel( - double beta, - double de, - double mue, - double K0, - double gamma, - double dl, - double mul, - double dp, - double mup, - size_t total_M, - bool model_seasonality, - double g0, - std::vector g, - std::vector h, - double R_bar, - double mum, - double f, - double rainfall_floor - ); - virtual ~AquaticMosquitoModel() {}; -}; - -integration_function_t create_eqs(AquaticMosquitoModel& model); - -#endif /* SRC_MOSQUITO_ODE_H_ */ diff --git a/src-i386/aquatic_mosquito_eqs.o b/src-i386/aquatic_mosquito_eqs.o deleted file mode 100644 index 0e40cb069439f7a82a6de6a2c174b0cf607daef1..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 638074 zcmeEv33wD$)^>F^0?iT>V^qWj5izp#o{li21>!UsAZ&^XgpdRh4M|Lz%|S!~hlprY zL{vmnL_}0ZkwHa_ii!>@qs)lQFsO_l3ga*gYIGF-_uPA{>ekY9(=hY=&;Nh*r25wK z)_Ko8cfWP(r2LkJ6Taeb28YKTKu|{;)#9A zOQWSKCPo-miktgPYG{yeyHe#demqy1*xc7|yzav3UMO<=&79YPb5~aJ#J)ba0ho!i zv}uM*N;u0M?i@(@t*Bi9(HUTGZB0aqFHR4@4SH2>6eLh2i5bqk`GUoC0)zZV4XOKtn z-2j}tF>L4Zj+r-PESO>7Mw{d@-jFffIsvx?xaC5g1Lur4-)pcR@vZ@G zwV5|R5Wp>MWBJOCH$UGXkK()4gk!uOw;=pj(b_7`Uy#-E84C7Ic!AHV;42#_b$5v^0dv0&b~=H_tB@ 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-History::History(size_t max_size) : max_size(max_size), has_default(false) {} -History::History(size_t max_size, double default_value) - : max_size(max_size), has_default(true), default_value(default_value) {} - -void History::push(double value, double time) { - values.insert({time, value}); - if (max_size != -1) { - while(values.size() > max_size) { - values.erase(values.begin()); - } - } -} - -double History::at(double time) const { - auto it = values.lower_bound(time); - if (it == values.end()) { - if (has_default) { - return default_value; - } - Rcpp::stop("`time` is later than the stored history"); - } - - // Check if we've landed on the exact time - if (it->first == time) { - return it->second; - } - - // Find the element before - auto after_element = *it; - while(it->first > time) { - // Check if we're at the start of the history - if (it == values.begin()) { - if (has_default) { - return default_value; - } - Rcpp::stop("`time` is before our stored history"); - } - it--; - } - - // Interpolate - return it->second + ( - (time - it->first) / (after_element.first - it->first) - ) * (after_element.second - it->second); -} - -//[[Rcpp::export]] -Rcpp::XPtr create_history(size_t size, double default_value) { - return Rcpp::XPtr(new History(size, default_value), true); -} - -//[[Rcpp::export]] -double history_at(Rcpp::XPtr history, double timestep) { - return history->at(timestep); -} - -//[[Rcpp::export]] -void history_push(Rcpp::XPtr history, double value, double timestep) { - return history->push(value, timestep); -} diff --git a/src-i386/history.h b/src-i386/history.h deleted file mode 100644 index 5a5fd618..00000000 --- a/src-i386/history.h +++ /dev/null @@ -1,28 +0,0 @@ -/* - * history.h - * - * Created on: 08 Apr 2021 - * Author: gc1610 - */ - -#ifndef SRC_HISTORY_H_ -#define SRC_HISTORY_H_ - -#include - -class History { -private: - std::map values; - size_t max_size; - void clean(); - bool has_default; - double default_value; -public: - History(); - History(size_t); - History(size_t, double); - void push(double, double); - double at(double) const; -}; - -#endif /* SRC_HISTORY_H_ */ diff --git a/src-i386/history.o b/src-i386/history.o deleted file mode 100644 index f30576189beffdcea28cf89fdebab8e476e7b83d..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 578721 zcmeFa3w%`7)i!=67YN~!h@fCWM?s5^J}Y9)$E(}FG;Ji=luDttukVNp8ScwUt!Jbxge~5@5jgSD=n+-PR{GY zXMbtsybH<#3a|*DrU54($b_ z6nT{24Vpa08&(~Gc(-Uc#v6_&@RM^8@6*6tr}IX_N`C#o^=R@KZzQfbAo1?kaEv!< z`oRI0?jc^Z!MstpI>8i1Q@@P?vtMNb0P z2HbpsbILbZrZ_6e+wRF*7Lgr>aJztOFnGfO+3}l!>jmykfkX4k{VEt%DmuwacHl)i zcz(kPop%~=PZ_)sr6MIEXAW?^0!Q5)w{s*RI~MV-_vDQ#j!L*qz`bMeMwOn+58PHw z9_Nh(W&bMzu2;kH{Kg`3MIzpPz~$Ym`*SQV%S!_HjwX-u#+8nS2@IWxq;7Ub7~T@rD9HUEWp= z$9O}5u#S5UxVbuSD4;Y%bj=>%ZWK7D9)-}r;5YjqJ0J1n4H|w`&}mt#4c=f(&u=Mk z^1<^PQtB_+xl+UN{DvZOhfey<0q#+QH83m5!zqynBI537pFt3Cisn@xIeV?zXIAfpdAI zLD}z{A!;me^1<^PRrDkKtV$!yAgrbb33&`y~+4&>j 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"history.h" - -#endif /* MALARIASIMULATION_TYPES_H_ */ diff --git a/src-i386/mosquito_biology.cpp b/src-i386/mosquito_biology.cpp deleted file mode 100644 index 8e706fa2..00000000 --- a/src-i386/mosquito_biology.cpp +++ /dev/null @@ -1,54 +0,0 @@ -/* - * mosquito_biology.cpp - * - * Created on: 11 Jun 2020 - * Author: gc1610 - */ - -#include -#include "mosquito_biology.h" - -//[[Rcpp::export]] -double carrying_capacity( - const size_t timestep, - const bool model_seasonality, - const double g0, - const std::vector& g, - const std::vector& h, - const double K0, - const double R_bar, - const double rainfall_floor -) { - if (model_seasonality) { - double r = rainfall(timestep, g0, g, h, rainfall_floor); - return K0 * r / R_bar; - } - return K0; -} - -//[[Rcpp::export]] -double eggs_laid( - double beta, - double mu, - double f -) { - auto eov = beta / mu * (exp(mu / f) - 1); - return eov * mu * exp(-mu / f) / (1 - exp(-mu / f)); -} - -//[[Rcpp::export]] -double rainfall( - const size_t t, - const double g0, - const std::vector& g, - const std::vector& h, - const double floor -) { - double result = g0; - for (auto i = 0u; i < g.size(); ++i) { - result += - g[i] * cos(2 * M_PI * t * (i + 1) / 365) + - h[i] * sin(2 * M_PI * t * (i + 1) / 365); - } - return std::max(result, floor); -} diff --git a/src-i386/mosquito_biology.h b/src-i386/mosquito_biology.h deleted file mode 100644 index cf4ceb73..00000000 --- a/src-i386/mosquito_biology.h +++ /dev/null @@ -1,34 +0,0 @@ -/* - * mosquito_biology.h - * - * Created on: 11 Jun 2020 - * Author: gc1610 - */ - -#ifndef SRC_MOSQUITO_BIOLOGY_H_ -#define SRC_MOSQUITO_BIOLOGY_H_ - -#include - -double carrying_capacity( - const size_t, - const bool, - const double, - const std::vector&, - const std::vector&, - const double, - const double, - const double -); - -double rainfall( - const size_t, - const double, - const std::vector&, - const std::vector&, - const double -); - -double eggs_laid(double, double, double); - -#endif /* 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zyle7c=*Vl2LC(WPt;oUYS8Br|Y=2alJXDenPQOq)^Sa#RsSrFj;7K0OzM4%Q3@N}F z#53EE#C^5NgW&``^sBUH1SOi+Rx=8N3V7%jX=h&hO&$y~;Ax!6fS91kvsmyvhUd(z z#Z4aS%^bWBPpc#|)K^U&EF9+LdD`T`P?wV@GBu7A>!Q{aN~EkH{!>f}=La(v#k>Jj z(dufj$2fC?&H7SMHiS8NL_?T^hkh(OH;edwY&JcTVHPEl!PJoJIHy9-nP?&BOcV<$ z*geN@ST#sGI5dQ_u_`3KSxZ^L>`)A=Bvwia=M3aech}r<%Pm&ya56ZiSVSPVlT>*~ z8)o5@&d6rVm9v~HQFI!1TXT1gmwR^U8;a9+Kj*cnJC8a!dxf2&qU98xvjXKlC9JB| kYz@e&U9<6sUuw@?@bj$v7DBF)mOt -#include "solver.h" - -Solver::Solver( - const std::vector& init, - const integration_function_t& eqs, - double r_tol, - double a_tol, - size_t max_steps - ) : - state(init), - eqs(eqs), - r_tolerance(r_tol), - a_tolerance(a_tol), - observer(Observer(max_steps, eqs)) -{ - rk = boost::numeric::odeint::make_dense_output( - a_tolerance, - r_tolerance, - boost::numeric::odeint::runge_kutta_dopri5() - ); -} - -void Solver::step() { - boost::numeric::odeint::integrate_adaptive( - rk, - std::cref(eqs), - state, - t, - t + dt, - dt, - std::ref(observer) - ); - observer.reset(); - ++t; -} - -//[[Rcpp::export]] -std::vector solver_get_states(Rcpp::XPtr solver) { - return solver->state; -} - -//[[Rcpp::export]] -void solver_step(Rcpp::XPtr solver) { - solver->step(); -} diff --git a/src-i386/solver.h b/src-i386/solver.h deleted file mode 100644 index 8857d422..00000000 --- a/src-i386/solver.h +++ /dev/null @@ -1,84 +0,0 @@ -/* - * solver.h - * - * Created on: 18 Mar 2020 - * Author: gc1610 - */ - -#ifndef SRC_SOLVER_H_ -#define SRC_SOLVER_H_ - -#pragma GCC diagnostic ignored "-Wdeprecated-declarations" -// [[Rcpp::depends(BH)]] -#include -#pragma GCC diagnostic pop - -#include -#include - -using state_t = std::vector; -using integration_function_t = std::function; - -class Observer { - size_t steps; - size_t max_steps; - integration_function_t eqs; -public: - Observer(size_t max_steps, const integration_function_t& eqs) : - steps(0u), max_steps(max_steps), eqs(eqs) { } - void operator()( const state_t &x , double t ) - { - if (++steps > max_steps) { - Rcpp::Rcout << "steps: " << steps; - Rcpp::Rcout << ", t: " << t; - for (auto i = 0u; i < x.size(); ++i) { - Rcpp::Rcout << ", x[" << i << "]:" << x[i]; - } - state_t dx(x.size()); - eqs(x, dx, t); - for (auto i = 0u; i < dx.size(); ++i) { - Rcpp::Rcout << ", dx[" << i << "]:" << dx[i]; - } - Rcpp::Rcout << std::endl; - Rcpp::stop("Too much work"); - } - } - void reset() { - steps = 0; - } - size_t get_steps() { - return steps; - } -}; - -/* - * Solver class - * - * Interfaces with the boost::odeint to solve mosquito dynamics defined by a - * system of equations `eqs` - */ -struct Solver { - Solver( - const std::vector& init, - const integration_function_t& eqs, - const double r_tol, - const double a_tol, - const size_t max_steps - ); - //solver fields - boost::numeric::odeint::dense_output_runge_kutta< - boost::numeric::odeint::controlled_runge_kutta< - boost::numeric::odeint::runge_kutta_dopri5 - > - >rk; - void step(); - double t = 0.; - const double dt = 1.; - state_t state; - integration_function_t eqs; - double r_tolerance; - double a_tolerance; - Observer observer; -}; - -#endif /* SRC_SOLVER_H_ */ diff --git a/src-i386/solver.o b/src-i386/solver.o deleted file mode 100644 index 6093e109899519c2d779362582f2f5757faaae0f..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 1620023 zcmbTf4}2X*dGCE3OllmFh*V8=Q#~CKXf#HFbjsZmI^8tAZNTR1G3^!~1=9 z=V+h#uP9ctANVF#Ho^VC*pp}^T-g?m z_`MBo!zM?!=IeHZbldZmuvqDWyV%%k=x*I>Ct&oFT&@Q$Z@7<1{BphV741bUg3bKC zZ>Q~Vk}mCb1SMS#I$Yv!q2R^uFx=snrT#YJcSWJ<>5e=065V3HhSXXR-ARW_^P^N; zgZLt9C*VHo=x!ad)1?JhPr}V)LQ;N~2AiEgFp=`K55qFc>-{;tB^ z_sYu_xJg&HR=PNpcW$#Kzw>@9i36ogqUYC2R zvA0$qw6_;^#zoj`g3}@Kx4pfhIZ5X&4ws~JdwX3cjOdo&wt2b*>jV+ov12dQEmU;I ziM;`bOLdFwx?l;n5AIq|w^(-5c?53AOXreRP{rO%P`6al1xC12aJPB7rMiya0NeuH zxZ&3G|J2{Ib)t*CuHUlrBlWjjb9H;*W<1@Bbt1*s>xX;FaObV*R%&j!nh5Gvt#T^y zI}Z1pr(3P+@)yBPJN8n4Ywd2iT5!13-&#qZNTRz4*ZOk#mdj=3xn^B3WA?2$_EO!t 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--- a/src-i386/test-random.cpp +++ /dev/null @@ -1,50 +0,0 @@ -// -*- mode: C++; c-indent-level: 4; c-basic-offset: 4; indent-tabs-mode: nil; -*- -/* - * test-random.cpp - * - * Created on: 12 Aug 2020 - * Author: gc1610 - */ - - -#include -#include -#include -#include "Random.h" - -void set_seed(double seed) { - Rcpp::Environment base_env("package:base"); - Rcpp::Function set_seed_r = base_env["set.seed"]; - set_seed_r(std::floor(std::fabs(seed))); -} - -context("Random is sane") { - test_that("Bernoulli produces the right size, range of values, no duplicates") { - auto& random = Random::get_instance(); - set_seed(42); - auto indices = random.bernoulli(1000, .5); - expect_true(indices.size() == 486u); - for (auto i : indices) { - expect_true(i < 1000u); - expect_true(i >= 0u); - } - auto values = std::unordered_set(indices.begin(), indices.end()); - expect_true(indices.size() == values.size()); - } - -} - -context("Sample is sane") { - test_that("Sample produces the right size") { - auto& random = Random::get_instance(); - set_seed(42); - auto indices = random.sample(1000, 500, false); - expect_true(indices.size() == 500u); - for (auto i : indices) { - expect_true(i < 1000u); - expect_true(i >= 0u); - } - auto values = std::unordered_set(indices.begin(), indices.end()); - expect_true(indices.size() == values.size()); - } -} diff --git a/src-i386/test-random.o b/src-i386/test-random.o deleted file mode 100644 index 7bb8a821ef6f8c16740c9741a17e0ae1a71f565e..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 1282996 zcmeFa4|ttrUgv$<$zZ7&h?v2O5ue2lMvR@4^Z#@^cwh=<*bJM+3~yiTU^7;9uJTbcd*&U2sh z{O&&;-)k?g_j<4Q^1gUD>3Kfq_kDi%zvuq<+)wX=nKdcGqksFYshhuD{%S~V7}&mV zK>jpg@;g$gg&$s(noX~*e)D6iQmH7_)w7{@+rYLO#Ag%7C?_AdHs-)ml~mWvhCBA| zRah$ZA?sh&e+;I2WNRFYVa&_A?mO+WXMmQa+ zy6rj3p6IqXT&$Zf>)(pM>)~E=bT{m=6K?WbQmHiDvf&=$ccfe8QZy^EW#2mn#=64f#i3KsRsaKhcdGuBw|aSm`Uet#GGZ-F(^d zBZA90_Nx9CGS>BpZnwi#bqjue-U@ft)h(1Wn5YNIr#l^cRo!C7;zW0!!&P;Qd8@pM 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zQEBF*2^{0qL}R(>yzajvt(94({A6DBS}mt1f?_5>;f;ZF3POm$>Yw=8WMZREi zutUvGxn?q=hq!?GmO3Sh$HStbS*2Lp`m-i2NmKw`a`r=s*b9jaU{RQAYxE2%e$F>L z%-52~Oyl#5IcB+4 -#include "history.h" - -context("History") { - test_that("Can get history at exact time point") { - History h; - h.push(1., 1.); - h.push(1.5, 4.); - expect_true(h.at(1.) == 1.); - } - - test_that("Can get history at interpolated time point") { - History h; - h.push(0., 1.); - h.push(4., 2.); - expect_true(h.at(1.5) == 2.); - } - - test_that("Errors gracefully when I search before the history") { - History h; - h.push(0., 1.); - h.push(4., 2.); - expect_error(h.at(0.)); - } - - test_that("Errors gracefully when I search after the history") { - History h; - h.push(0., 1.); - h.push(4., 2.); - expect_error(h.at(4.)); - } - - test_that("Can restrict size of history") { - History h(2); - h.push(3, 2.5); - h.push(0., 1.); - h.push(4., 2.); - expect_error(h.at(1)); - } -} diff --git a/src-i386/test_history.o b/src-i386/test_history.o deleted file 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zy!6C%xrSHf!tkA&(tG@T(30FeyoV>jK&EsJ+T#T5c!xkcXC2@Qt&#k&x4W#mbFQn- zjQCELUVPN0MAD*9?($uj&GCB1#Nx^YT!1mC_4e5n_`8C7-W8^-e29!ceKTlM$~-#O zWY-ww5qU^eQvq1cG+Gz$9BRyexL&M!8C4~%x}-k=h!NAN9UsKfDCv8P^=*Yo3(|ujVOD++r2vkDHPpP!M76c4{bX#v2l*luTA(|Q0HQ2s}mot{=6n> z(Zq9pI$SGLe0i3?%&@+KPO0QYYr6GTE2A_f*-U$J0(4LzBD|+ZuU}I++Y-z9Y} -#include "Random.h" -#include - -//[[Rcpp::export]] -void random_seed(size_t seed) { - Random::get_instance().seed(seed); -} - -//[[Rcpp::export]] -std::vector bernoulli_multi_p_cpp(const std::vector p) { - auto values = Random::get_instance().bernoulli_multi_p(p); - for (auto i = 0u; i < values.size(); ++i) { - values[i]++; - } - return values; -} - -//[[Rcpp::export]] -std::vector bitset_index_cpp( - Rcpp::XPtr a, - Rcpp::XPtr b - ) { - auto values = std::vector(); - auto i = 1u; - for (const auto& v : *a) { - if (b->find(v) != b->cend()) { - values.push_back(i); - } - ++i; - } - return values; -} - -//[[Rcpp::export(rng = false)]] -Rcpp::IntegerVector fast_weighted_sample( - size_t size, - std::vector probs - ) { - Rcpp::IntegerVector values(size); - Random::get_instance().prop_sample_bucket( - size, - probs, - INTEGER(values) - ); - values = values + 1; - return values; -} diff --git a/src-i386/utils.o b/src-i386/utils.o deleted file mode 100644 index 11361f3f7900b3d9556b10e2d86d0ecb97a39d49..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 3518277 zcmZ_13v{JdcGsymvQu#sM>L9~7~$MFilaD+`@SDe;ap6`sW^%woJvPDigVjhOkrw_ z=oCg{gb_y5OUqN!qt&D7Rnw#C(RgZ%rbl>0Q#3VAVT37+#v_a{g%PG`L{k{i2qPL{ zgb~gB_Wky~XP<}8TDDZWzq|k6KIeSr{h0dP{tx#M-v7++?s?>AG^K&U+sU)^|UrVS@!?lm*yvn&G~v#}-S>LNb@M@~5~c5IO1D(^;!kw1!VRmvu5Q_nKhfQQ zdo0u~S0j5pKkCOz+uusTOJC9LgBuHVD;3Y4o<{<%ty`@`@tlWy zF4V0yBHh!0y|!+xw^sGiP5eCvw-D$)JmcrTB@(m+_nLBd^1WtHzWMO9 z&u#Jd!v}hMc9fII74DPuy!U+L{C(rcdVAhmALO^Jm}~n{uY248pY;#-_8cnLE+?hD zYWVND_%RIk9b>QUZy{f{36g`$!`aZ*E#&J}^GAul@qo+h6^gbX65R>7p}*k#P_AYj 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z0syXc)wXgq7dA)#7R&df`eaSAgG~n_oE6QG#l@j2Jg=V>VHbiPGabM{- zmSLDK7qbHl!1pE8EdT~z_WH&I3xu$nB}@V=>Hn&c)q7`$Q-Z+@E00SjGA=c!#y-xg z9C?8B*W$nqfg+E=KRHSB25%mX~V z0s5rx(Z$E=@?r&rOBH6hmcq>g9+rlH?ePqT60bbXb-sWXP*Jn{i{%=}mX0;7mb|Yo zK=cA9qPWu5c;;s>P@4N?eTNre(Gf5-Fhg(fllfwcf0xYCywPy8AZCDZJHEsJ0|<9i zdoOpN*I)0atHVs+37ONoc-kSmvFf@iFX1YJ)N8r^+O50uhwk6J+z^Q34v)@~VMZH% s3GalD$9RHdbbY-ye{NhYh)Ye`0G3wBkGhY^)Fb2i Date: Thu, 6 Oct 2022 17:09:37 +0100 Subject: [PATCH 07/32] Add new formula for border test and treat: * refactor transmission mixing code * fix regressions * add time caching --- R/biting_process.R | 106 ++++---------- R/mixing.R | 91 ++++++++++++ R/model.R | 59 ++++++-- R/parameters.R | 3 - R/processes.R | 7 +- R/utils.R | 16 +++ tests/testthat/test-biting-integration.R | 168 +---------------------- tests/testthat/test-biting.R | 11 -- tests/testthat/test-mixing-integration.R | 144 +++++++++++++++++++ tests/testthat/test-simulation-e2e.R | 26 +++- tests/testthat/test-utils.R | 23 ++++ 11 files changed, 377 insertions(+), 277 deletions(-) create mode 100644 R/mixing.R create mode 100644 tests/testthat/test-mixing-integration.R create mode 100644 tests/testthat/test-utils.R diff --git a/R/biting_process.R b/R/biting_process.R index eb82b883..b9cd7ec4 100644 --- a/R/biting_process.R +++ b/R/biting_process.R @@ -11,9 +11,8 @@ #' @param lagged_infectivity a list of LaggedValue objects with historical sums #' of infectivity, one for every metapopulation #' @param lagged_eir a LaggedValue class with historical EIRs -#' @param mixing_tt a vector of timesteps for each mixing vector -#' @param mixing a vector of mixing coefficients for the lagged_infectivity -#' values (default: 1) +#' @param mixing_fn a function to retrieve the mixed EIR and infectivity based +#' on the other populations #' @param mixing_index an index for this population's position in the #' lagged_infectivity list (default: 1) #' @noRd @@ -26,8 +25,7 @@ create_biting_process <- function( parameters, lagged_infectivity, lagged_eir, - mixing_tt = 0, - mixing = 1, + mixing_fn = NULL, mixing_index = 1 ) { function(timestep) { @@ -45,8 +43,7 @@ create_biting_process <- function( timestep, lagged_infectivity, lagged_eir, - mixing_tt, - mixing, + mixing_fn, mixing_index ) @@ -74,8 +71,7 @@ simulate_bites <- function( timestep, lagged_infectivity, lagged_eir, - mixing_tt = 0, - mixing = 1, + mixing_fn = NULL, mixing_index = 1 ) { bitten_humans <- individual::Bitset$new(parameters$human_population) @@ -116,10 +112,6 @@ simulate_bites <- function( a <- .human_blood_meal_rate(f, s_i, W, parameters) lambda <- effective_biting_rates(a, .pi, p_bitten) - # calculate rdt coefficient to calculate the proportion of mixed - # transmission to include - rdt_negative <- 1 - rdt_detectable(variables, parameters, timestep) - if (parameters$individual_mosquitoes) { species_index <- variables$species$get_index_of( parameters$species[[s_i]] @@ -137,25 +129,18 @@ simulate_bites <- function( } # store the current population's EIR for later - lagged_eir[[mixing_index]][[s_i]]$save( + lagged_eir[[s_i]]$save( n_infectious * a, timestep ) - # calculated the EIR for this timestep after mixing - species_eir <- sum( - vnapply( - seq_along(lagged_eir), - function(i) { - e <- lagged_eir[[i]][[s_i]]$get(timestep - parameters$de) - if (parameters$mixing_rdt && i != mixing_index) { - return(e * rdt_negative) - } - return(e) - } - ) * mixing - ) - + # lagged EIR + if (is.null(mixing_fn)) { + species_eir <- lagged_eir[[s_i]]$get(timestep - parameters$de) + } else { + species_eir <- mixing_fn(timestep=timestep)$eir[[mixing_index, s_i]] + } + renderer$render(paste0('EIR_', species_name), species_eir, timestep) EIR <- EIR + species_eir expected_bites <- species_eir * mean(psi) @@ -167,27 +152,16 @@ simulate_bites <- function( ) } } - - infectivity <- vnapply( - seq_along(lagged_infectivity), - function(i) { - inf <- lagged_infectivity[[i]]$get(timestep - parameters$delay_gam) - if (parameters$mixing_rdt && i != mixing_index) { - return(inf * rdt_negative) - } - return(inf) - } - ) - lagged_infectivity[[mixing_index]]$save( - sum(human_infectivity * .pi), - timestep - ) - foim <- calculate_foim( - a, - infectivity, - mixing[[match_timestep(mixing_tt, timestep)]] - ) + if (is.null(mixing_fn)) { + infectivity <- lagged_infectivity$get(timestep - parameters$delay_gam) + } else { + infectivity <- mixing_fn(timestep=timestep)$inf[[mixing_index]] + } + + lagged_infectivity$save(sum(human_infectivity * .pi), timestep) + + foim <- calculate_foim(a, infectivity) renderer$render(paste0('FOIM_', species_name), foim, timestep) mu <- death_rate(f, W, Z, s_i, parameters) renderer$render(paste0('mu_', species_name), mu, timestep) @@ -329,38 +303,8 @@ unique_biting_rate <- function(age, parameters) { #' @title Calculate the force of infection towards mosquitoes #' #' @param a human blood meal rate -#' @param infectivity_sum a vector of sums of infectivity weighted by relative -#' biting rate for each population -#' @param mixing a vector of mixing coefficients for each population +#' @param infectivity_sum the sum of each individual's infectivity #' @noRd -calculate_foim <- function(a, infectivity_sum, mixing) { - a * sum(infectivity_sum * mixing) -} - -# Estimates RDT prevalence from miscroscopy prevalence, -# Wu et al 2015 Nature paper -rdt_detectable <- function(variables, parameters, timestep) { - microscopy_prev <- calculate_detected( - variables$state, - variables$birth, - variables$id, - parameters, - timestep - )$size() / parameters$human_population - logit_prev <- log(microscopy_prev / (1 - microscopy_prev)) - logit_rdt <- parameters$rdt_intercept + parameters$rdt_coeff * logit_prev - exp(logit_rdt) / (1 + exp(logit_rdt)) -} - -# return proportion of individuals detectable by microscopy -calculate_detected <- function(state, birth, immunity, parameters, timestep) { - asymptomatic <- state$get_index_of('A') - prob <- probability_of_detection( - get_age(birth$get_values(asymptomatic), timestep), - immunity$get_values(asymptomatic), - parameters - ) - asymptomatic_detected <- bitset_at(asymptomatic, bernoulli_multi_p(prob)) - clinically_detected <- state$get_index_of(c('Tr', 'D')) - clinically_detected$or(asymptomatic_detected) +calculate_foim <- function(a, infectivity_sum) { + a * infectivity_sum } diff --git a/R/mixing.R b/R/mixing.R new file mode 100644 index 00000000..64a0f318 --- /dev/null +++ b/R/mixing.R @@ -0,0 +1,91 @@ +create_transmission_mixer <- function( + variables, + parameters, + lagged_eir, + lagged_infectivity, + mixing_tt, + mixing, + p_captured_tt, + p_captured, + p_success + ) { + function (timestep) { + n_pops <- length(variables) + # calculate all the mixing values once per timestep + rdt_negative <- vnapply( + seq(n_pops), + function(i) { + 1 - rdt_detectable(variables[[i]], parameters[[i]], timestep) + } + ) + p_mix <- mixing[[match_timestep(mixing_tt, timestep)]] + p_captured_t <- p_captured[[match_timestep(p_captured_tt, timestep)]] + n_species <- length(parameters[[1]]$species) + species_eir <- t(vapply( + seq_along(lagged_eir), + function(i) { + vnapply( + lagged_eir[[i]], + function(l) l$get(timestep - parameters[[i]]$de) + ) + }, + numeric(n_species) + )) + if (n_species == 1) { + species_eir <- t(species_eir) + } + inf <- vnapply( + seq_along(lagged_infectivity), + function(i) lagged_infectivity[[i]]$get(timestep - parameters[[i]]$delay_gam) + ) + + treated_coeff <- p_captured_t * rdt_negative * p_success + + eir <- vapply( + seq(n_species), + function(i) { + mixed_eir <- t(species_eir[,i] * p_mix) + eir_untreated <- mixed_eir * (1 - p_captured_t) + eir_treated <- mixed_eir * treated_coeff + rowSums(eir_untreated + eir_treated) + }, + numeric(n_pops) + ) + + mixed_inf <- inf * p_mix + inf_untreated <- mixed_inf * (1 - p_captured_t) + inf_treated <- mixed_inf * treated_coeff + + inf <- rowSums(inf_untreated + inf_treated) + + list(eir = eir, inf = inf) + } +} + +# Estimates RDT prevalence from miscroscopy prevalence, +# Wu et al 2015 Nature paper +rdt_detectable <- function(variables, parameters, timestep) { + microscopy_prev <- calculate_detected( + variables$state, + variables$birth, + variables$id, + parameters, + timestep + )$size() / parameters$human_population + logit_prev <- log(microscopy_prev / (1 - microscopy_prev)) + logit_rdt <- parameters$rdt_intercept + parameters$rdt_coeff * logit_prev + exp(logit_rdt) / (1 + exp(logit_rdt)) +} + +# return proportion of individuals detectable by microscopy +calculate_detected <- function(state, birth, immunity, parameters, timestep) { + asymptomatic <- state$get_index_of('A') + prob <- probability_of_detection( + get_age(birth$get_values(asymptomatic), timestep), + immunity$get_values(asymptomatic), + parameters + ) + asymptomatic_detected <- bitset_at(asymptomatic, bernoulli_multi_p(prob)) + clinically_detected <- state$get_index_of(c('Tr', 'D')) + clinically_detected$or(asymptomatic_detected) +} diff --git a/R/model.R b/R/model.R index a23f9ad4..4cd1fe68 100644 --- a/R/model.R +++ b/R/model.R @@ -114,8 +114,8 @@ run_simulation <- function( vector_models, solvers, correlations, - list(create_lagged_eir(variables, solvers, parameters)), - list(create_lagged_infectivity(variables, parameters)) + create_lagged_eir(variables, solvers, parameters), + create_lagged_infectivity(variables, parameters) ), variables = variables, events = unlist(events), @@ -131,24 +131,37 @@ run_simulation <- function( #' @param correlations a list of correlation parameters for each population #' (default: NULL) #' @param mixing_tt a vector of time steps for each mixing matrix -#' @param mixing a list of matrices of mixing coefficients for infectivity towards -#' mosquitoes. Rows = origin sites, columns = destinations. Each matrix element +#' @param mixing a list of matrices of mixing coefficients for infectivity. +#' Rows = origin sites, columns = destinations. Each matrix element #' describes the mixing pattern from destination to origin. Each matrix element must #' be between 0 and 1. Each matrix is activated at the corresponding timestep in mixing_tt -#' @return a list of dataframe of results +#' @param p_captured_tt a vector of time steps for each p_captured matrix +#' @param p_captured a list of matrices representing the probability that +#' travel between sites is intervened by a test and treat border check. +#' Dimensions are the same as for `mixing` +#' @param p_success the probability that an individual who has tested positive +#' (through an RDT) successfully clears their infection through treatment +#' @return a list of dataframe of model outputs as in run_simulation #' @export run_metapop_simulation <- function( timesteps, parameters, correlations = NULL, mixing_tt, - mixing + mixing, + p_captured_tt, + p_captured, + p_success ) { random_seed(ceiling(runif(1) * .Machine$integer.max)) if (!is.list(mixing)) { stop('mixing must be a list of mixing matrices') } + if (length(mixing_tt) != length(mixing)) { + stop('mixing_tt must be the same length as mixing') + } + for (i in seq_along(mixing)) { if (nrow(mixing[[i]]) != ncol(mixing[[i]])) { stop(sprintf('mixing matrix %d must be square', i)) @@ -164,12 +177,24 @@ run_metapop_simulation <- function( } } + for (i in seq_along(p_captured)) { + if (nrow(p_captured[[i]]) != ncol(p_captured[[i]])) { + stop(sprintf('p_captured matrix %d must be square', i)) + } + if (!all(diag(p_captured[[i]]) == 0)) { + warning(sprintf('p_captured matrix %d has a non-zero diagonal', i)) + } + } + if (!is.numeric(mixing_tt)) { stop('mixing_tt must be numeric') } if (length(mixing_tt) != length(mixing)) { stop('mixing_tt must be the same size as mixing') } + if (length(p_captured_tt) != length(p_captured)) { + stop('p_captured_tt must be the same length as p_captured') + } if (is.null(correlations)) { @@ -211,6 +236,21 @@ run_metapop_simulation <- function( seq_along(parameters), function(i) create_lagged_infectivity(variables[[i]], parameters[[i]]) ) + + mixing_fn <- time_cached( + create_transmission_mixer( + variables, + parameters, + lagged_eir, + lagged_infectivity, + mixing_tt, + mixing, + p_captured_tt, + p_captured, + p_success + ) + ) + processes <- lapply( seq_along(parameters), function(i) { @@ -222,10 +262,9 @@ run_metapop_simulation <- function( vector_models[[i]], solvers[[i]], correlations[[i]], - lagged_eir, - lagged_infectivity, - mixing_tt, - lapply(mixing, function(m) m[i,]), + lagged_eir[[i]], + lagged_infectivity[[i]], + mixing_fn, i ) } diff --git a/R/parameters.R b/R/parameters.R index a1ce65ac..4ecf90c7 100644 --- a/R/parameters.R +++ b/R/parameters.R @@ -210,8 +210,6 @@ #' #' mixing: #' -#' * mixing_rdt - boolean for whether mixing transmission should only consider -#' individuals who would not be detected by an RDT test; default = FALSE #' * rdt_intercept - the y intercept for the log logit relationship betweeen rdt #' and microscopy prevalence; default = 0.108 #' * rdt_coeff - the coefficient for the log logit relationship betweeen rdt @@ -404,7 +402,6 @@ get_parameters <- function(overrides = list()) { age_group_rendering_min_ages = numeric(0), age_group_rendering_max_ages = numeric(0), # mixing - mixing_rdt = FALSE, rdt_intercept = 0.108, rdt_coeff = 0.907, # misc diff --git a/R/processes.R b/R/processes.R index 38f323ff..e6b24108 100644 --- a/R/processes.R +++ b/R/processes.R @@ -17,6 +17,7 @@ #' @param mixing_tt a vector of timesteps for each mixing vector #' @param mixing a list of vectors of mixing coefficients for the lagged transmission #' values (default: 1) +#' @param mixing_fn function to retrieve mixed EIR and infectivity values #' @param mixing_index an index for this population's position in the #' lagged transmission lists (default: 1) #' @noRd @@ -30,8 +31,7 @@ create_processes <- function( correlations, lagged_eir, lagged_infectivity, - mixing_tt = 0, - mixing = 1, + mixing_fn = NULL, mixing_index = 1 ) { # ======== @@ -79,8 +79,7 @@ create_processes <- function( parameters, lagged_infectivity, lagged_eir, - mixing_tt, - mixing, + mixing_fn, mixing_index ), create_mortality_process(variables, events, renderer, parameters), diff --git a/R/utils.R b/R/utils.R index f25244bd..e98c073b 100644 --- a/R/utils.R +++ b/R/utils.R @@ -64,3 +64,19 @@ rtexp <- function(n, m, t) { itexp(runif(n), m, t) } match_timestep <- function(ts, t) { min(sum(ts <= t), length(ts)) } + +#'@title Time cache a function +#'@description caches function outputs based on the timestep argument +#'@param fn function to cache +#'@noRd +time_cached <- function(fn) { + cache <- new.env() + cache$timestep <- -1 + function(..., timestep) { + if (cache$timestep != timestep) { + cache$value <- fn(..., timestep) + cache$timestep <- timestep + } + cache$value + } +} diff --git a/tests/testthat/test-biting-integration.R b/tests/testthat/test-biting-integration.R index 30e38760..5148edd5 100644 --- a/tests/testthat/test-biting-integration.R +++ b/tests/testthat/test-biting-integration.R @@ -46,8 +46,7 @@ test_that('biting_process integrates mosquito effects and human infection', { timestep, lagged_foim, lagged_eir, - 0, - 1, + NULL, 1 ) @@ -102,8 +101,8 @@ test_that('simulate_bites integrates eir calculation and mosquito side effects', mockery::stub(simulate_bites, 'aquatic_mosquito_model_update', eqs_update) models <- parameterise_mosquito_models(parameters, timestep) solvers <- parameterise_solvers(models, parameters) - lagged_foim <- list(LaggedValue$new(12.5, .001)) - lagged_eir <- list(list(LaggedValue$new(12, 10))) + lagged_foim <- LaggedValue$new(12.5, .001) + lagged_eir <- list(LaggedValue$new(12, 10)) bitten <- simulate_bites( renderer, solvers, @@ -146,164 +145,3 @@ test_that('simulate_bites integrates eir calculation and mosquito side effects', c(.5, .5, .5, .5) ) }) - - -test_that('simulate_bites works with mixed populations', { - population <- 4 - timestep <- 5 - renderer <- individual::Render$new(5) - parameters <- get_parameters( - list(human_population = population) - ) - events <- create_events(parameters) - variables <- create_variables(parameters) - - mock_foim <- mockery::mock(1) - mock_a <- mockery::mock(.3) - - mockery::stub(simulate_bites, 'calculate_foim', mock_foim) - mockery::stub(simulate_bites, '.human_blood_meal_rate', mock_a) - models <- parameterise_mosquito_models(parameters, timestep) - solvers <- parameterise_solvers(models, parameters) - lagged_foim <- list(LaggedValue$new(12.5, .001), LaggedValue$new(12.5, .01)) - lagged_eir <- list(list(LaggedValue$new(12, 10)), list(LaggedValue$new(12, 10))) - age <- c(20, 24, 5, 39) * 365 - bitten <- simulate_bites( - renderer, - solvers, - models, - variables, - events, - age, - parameters, - timestep, - lagged_foim, - lagged_eir, - 1, - list(c(0.2, 0.8)), - 2 - ) - - mockery::expect_args(mock_foim, 1, .3, c(.001, .01), c(.2, .8)) -}) - -test_that('simulate_bites can halve the mixed transmission for 50% rdt detection', { - population <- 4 - timestep <- 5 - renderer <- individual::Render$new(5) - parameters <- get_parameters( - list(human_population = population, mixing_rdt = TRUE) - ) - events <- create_events(parameters) - variables <- create_variables(parameters) - - mock_rdt <- mockery::mock(.5) # 50% - mock_foim <- mockery::mock(1) - mock_pois <- mockery::mock(.3) - mock_a <- mockery::mock(.3) - mock_psi <- mockery::mock(rep(1, 4)) - - mockery::stub(simulate_bites, 'rdt_detectable', mock_rdt) - mockery::stub(simulate_bites, 'calculate_foim', mock_foim) - mockery::stub(simulate_bites, 'rpois', mock_pois) - mockery::stub(simulate_bites, '.human_blood_meal_rate', mock_a) - mockery::stub(simulate_bites, 'unique_biting_rate', mock_psi) - models <- parameterise_mosquito_models(parameters) - solvers <- parameterise_solvers(models, parameters) - lagged_foim <- list(LaggedValue$new(12.5, .001), LaggedValue$new(12.5, .01)) - lagged_eir <- list(list(LaggedValue$new(12, 10)), list(LaggedValue$new(12, 10))) - age <- c(20, 24, 5, 39) * 365 - bitten <- simulate_bites( - renderer, - solvers, - models, - variables, - events, - age, - parameters, - timestep, - lagged_foim, - lagged_eir, - 1, - list(c(0.2, 0.8)), - 2 - ) - - mockery::expect_args(mock_foim, 1, .3, c(.0005, .01), c(.2, .8)) - mockery::expect_args(mock_pois, 1, 1, 9) # = 10 * .2 * .5 + 10 * .8 -}) - -test_that('rdt_detectable adjusts correctly with identity parameters', { - population <- 4 - parameters <- get_parameters( - list(human_population = population, rdt_intercept = 0, rdt_coeff = 1) - ) - variables <- create_variables(parameters) - - mock_detected <- mockery::mock(individual::Bitset$new(4)$insert(c(1, 2))) # 50% - - mockery::stub(rdt_detectable, 'calculate_detected', mock_detected) - rdt_prev <- rdt_detectable(variables, parameters, 1) - - expect_equal(rdt_prev, 0.5) -}) - -test_that('simulate_bites can halve the mixed transmission for 50% rdt detection', { - population <- 4 - timestep <- 5 - renderer <- individual::Render$new(5) - parameters <- get_parameters( - list(human_population = population, mixing_rdt = TRUE) - ) - events <- create_events(parameters) - variables <- create_variables(parameters) - - mock_rdt <- mockery::mock(.5) # 50% - mock_foim <- mockery::mock(1) - mock_pois <- mockery::mock(.3) - mock_a <- mockery::mock(.3) - mock_psi <- mockery::mock(rep(1, 4)) - - mockery::stub(simulate_bites, 'rdt_detectable', mock_rdt) - mockery::stub(simulate_bites, 'calculate_foim', mock_foim) - mockery::stub(simulate_bites, 'rpois', mock_pois) - mockery::stub(simulate_bites, '.human_blood_meal_rate', mock_a) - mockery::stub(simulate_bites, 'unique_biting_rate', mock_psi) - models <- parameterise_mosquito_models(parameters) - solvers <- parameterise_solvers(models, parameters) - lagged_foim <- list(LaggedValue$new(12.5, .001), LaggedValue$new(12.5, .01)) - lagged_eir <- list(list(LaggedValue$new(12, 10)), list(LaggedValue$new(12, 10))) - age <- c(20, 24, 5, 39) * 365 - bitten <- simulate_bites( - renderer, - solvers, - models, - variables, - events, - age, - parameters, - timestep, - lagged_foim, - lagged_eir, - c(0.2, 0.8), - 2 - ) - - mockery::expect_args(mock_foim, 1, .3, c(.0005, .01), c(.2, .8)) - mockery::expect_args(mock_pois, 1, 1, 9) # = 10 * .2 * .5 + 10 * .8 -}) - -test_that('rdt_detectable adjusts correctly with identity parameters', { - population <- 4 - parameters <- get_parameters( - list(human_population = population, rdt_intercept = 0, rdt_coeff = 1) - ) - variables <- create_variables(parameters) - - mock_detected <- mockery::mock(individual::Bitset$new(4)$insert(c(1, 2))) # 50% - - mockery::stub(rdt_detectable, 'calculate_detected', mock_detected) - rdt_prev <- rdt_detectable(variables, parameters, 1) - - expect_equal(rdt_prev, 0.5) -}) diff --git a/tests/testthat/test-biting.R b/tests/testthat/test-biting.R index 91a60be4..e6c19fb9 100644 --- a/tests/testthat/test-biting.R +++ b/tests/testthat/test-biting.R @@ -10,14 +10,3 @@ test_that('gonotrophic_cycle cannot be negative', { vparams$blood_meal_rates <- 5 expect_error(set_species(params, list(vparams), 1)) }) - -test_that('calculate_foim mixes correctly', { - expect_equal( # check 1 case - calculate_foim(a=0.5, infectivity=6, mixing=1), - 3 - ) - expect_equal( # check 2 cases - calculate_foim(a=0.5, infectivity=c(6, 4), mixing=c(.5, .5)), - 2.5 - ) -}) diff --git a/tests/testthat/test-mixing-integration.R b/tests/testthat/test-mixing-integration.R new file mode 100644 index 00000000..141cf658 --- /dev/null +++ b/tests/testthat/test-mixing-integration.R @@ -0,0 +1,144 @@ +test_that('simulate_bites works with mixed populations', { + population <- 4 + timestep <- 5 + renderer <- individual::Render$new(5) + parameters <- get_parameters( + list(human_population = population) + ) + events <- create_events(parameters) + variables <- create_variables(parameters) + + mock_foim <- mockery::mock(1) + mock_a <- mockery::mock(1/3) + mixed_transmission <- list( + eir = matrix(c(.2, .8), nrow=1, ncol=2), + inf = c(.2, .8) + ) + mock_mixing <- mockery::mock(mixed_transmission, cycle=TRUE) + + mockery::stub(simulate_bites, '.human_blood_meal_rate', mock_a) + mockery::stub(simulate_bites, 'calculate_foim', mock_foim) + models <- parameterise_mosquito_models(parameters) + solvers <- parameterise_solvers(models, parameters) + lagged_foim <- LaggedValue$new(12.5, .001) + lagged_eir <- list(LaggedValue$new(12, 10)) + age <- c(20, 24, 5, 39) * 365 + bitten <- simulate_bites( + renderer, + solvers, + models, + variables, + events, + age, + parameters, + timestep, + lagged_foim, + lagged_eir, + mock_mixing, + 1 + ) + + mockery::expect_args(mock_mixing, 1, timestep) + mockery::expect_args(mock_foim, 1, 1/3, .2) +}) + +test_that('mixing_fn can return isolated transmission for multiple species', { + population <- 4 + timestep <- 5 + renderer <- individual::Render$new(5) + parameters <- get_parameters( + list(human_population = population) + ) + parameters <- set_species( + parameters, + list(arab_params, fun_params, gamb_params), + rep(1/3, 3) + ) + events <- create_events(parameters) + variables <- create_variables(parameters) + lagged_infectivity <- list(LaggedValue$new(12.5, .1), LaggedValue$new(12.5, .2)) + lagged_eir <- list( + list(LaggedValue$new(12, 10), LaggedValue$new(12, 10), LaggedValue$new(12, 10)), + list(LaggedValue$new(12, 20), LaggedValue$new(12, 20), LaggedValue$new(12, 20)) + ) + + mock_rdt <- mockery::mock(.5, cycle = TRUE) # 50% + + mixing_fn <- create_transmission_mixer( + list(variables, variables), + list(parameters, parameters), + lagged_eir, + lagged_infectivity, + mixing_tt = 1, + mixing = list(diag(nrow=2)), + p_captured_tt = 1, + p_captured = list(1 - diag(nrow=2)), # full coverage + p_success = 1 + ) + + mockery::stub(mixing_fn, 'rdt_detectable', mock_rdt) + + transmission <- mixing_fn(timestep) + expect_equal( + transmission, + list( + eir = t(matrix(c(rep(10, 3), rep(20, 3)), nrow=3, ncol=2)), + inf = c(.1, .2) + ) + ) +}) + + +test_that('mixing_fn can halve the mixed transmission for 50% rdt detection', { + population <- 4 + timestep <- 5 + renderer <- individual::Render$new(5) + parameters <- get_parameters( + list(human_population = population) + ) + events <- create_events(parameters) + variables <- create_variables(parameters) + lagged_infectivity <- list(LaggedValue$new(12.5, .1), LaggedValue$new(12.5, .2)) + lagged_eir <- list(list(LaggedValue$new(12, 10)), list(LaggedValue$new(12, 20))) + + mock_rdt <- mockery::mock(.5, cycle = TRUE) # 50% + + + mixing_fn <- create_transmission_mixer( + list(variables, variables), + list(parameters, parameters), + lagged_eir, + lagged_infectivity, + mixing_tt = 1, + mixing = list(matrix(rep(.5, 4), nrow=2, ncol=2)), + p_captured_tt = 1, + p_captured = list(1 - diag(nrow=2)), # full coverage + p_success = 1 + ) + + mockery::stub(mixing_fn, 'rdt_detectable', mock_rdt) + + transmission <- mixing_fn(timestep) + expect_equal( + transmission, + list( + eir = matrix(c(10, 12.5), nrow=2, ncol=1), + inf = c(.075, .150) + ) + ) +}) + +test_that('rdt_detectable adjusts correctly with identity parameters', { + population <- 4 + parameters <- get_parameters( + list(human_population = population, rdt_intercept = 0, rdt_coeff = 1) + ) + variables <- create_variables(parameters) + + mock_detected <- mockery::mock(individual::Bitset$new(4)$insert(c(1, 2))) # 50% + + mockery::stub(rdt_detectable, 'calculate_detected', mock_detected) + rdt_prev <- rdt_detectable(variables, parameters, 1) + + expect_equal(rdt_prev, 0.5) +}) diff --git a/tests/testthat/test-simulation-e2e.R b/tests/testthat/test-simulation-e2e.R index 48c17b30..52859b8a 100644 --- a/tests/testthat/test-simulation-e2e.R +++ b/tests/testthat/test-simulation-e2e.R @@ -10,8 +10,18 @@ test_that('run_metapop_simulation fails with incorrect mixing matrix', { paramlist <- list(parameters, parameters) # incorrect params mixing <- matrix(c(1, 1), nrow = 1, ncol = 2) + p_captured <- diag(nrow=2) expect_error( - run_metapop_simulation(timesteps, parameters, NULL, mixing) + run_metapop_simulation( + timesteps, + parameters, + NULL, + mixing_tt = 1, + list(mixing), + p_captured_tt = 1, + p_captured = list(diag(nrow=2)), + p_success = 1 + ) ) }) @@ -20,9 +30,19 @@ test_that('run_metapop_simulation integrates two models correctly', { timesteps <- 5 parameters <- get_parameters(list(human_population = population)) parametersets <- list(parameters, parameters) - mixing <- diag(1, nrow = 2, ncol = 2) + mixing <- diag(nrow = 2) + p_captured <- diag(nrow = 2) - outputs <- run_metapop_simulation(timesteps, parametersets, NULL, 1, list(mixing)) + outputs <- run_metapop_simulation( + timesteps, + parametersets, + NULL, + 1, + list(mixing), + 1, + list(p_captured), + 1 + ) expect_equal(length(outputs), 2) expect_equal(nrow(outputs[[1]]), 5) expect_equal(nrow(outputs[[2]]), 5) diff --git a/tests/testthat/test-utils.R b/tests/testthat/test-utils.R new file mode 100644 index 00000000..175996d2 --- /dev/null +++ b/tests/testthat/test-utils.R @@ -0,0 +1,23 @@ + +test_that('time_cached calls the function the first time round', { + fn <- mockery::mock(42) + cached_fn <- time_cached(fn) + expect_equal(cached_fn(timestep = 1), 42) + mockery::expect_called(fn, 1) +}) + +test_that('time_cached returns the cached result the second time round', { + fn <- mockery::mock(42) + cached_fn <- time_cached(fn) + expect_equal(cached_fn(timestep = 1), 42) + expect_equal(cached_fn(timestep = 1), 42) + mockery::expect_called(fn, 1) +}) + +test_that('time_cached calls again for a different timestep', { + fn <- mockery::mock(42, 43) + cached_fn <- time_cached(fn) + expect_equal(cached_fn(timestep = 1), 42) + expect_equal(cached_fn(timestep = 2), 43) + mockery::expect_called(fn, 2) +}) From 8e759c14a5662c284c334a23cc421814a4905c1b Mon Sep 17 00:00:00 2001 From: Giovanni Charles Date: Thu, 6 Oct 2022 17:12:29 +0100 Subject: [PATCH 08/32] Update documentation for border check model --- man/get_parameters.Rd | 2 -- man/run_metapop_simulation.Rd | 20 ++++++++++++++++---- 2 files changed, 16 insertions(+), 6 deletions(-) diff --git a/man/get_parameters.Rd b/man/get_parameters.Rd index eceb4452..d099fcde 100644 --- a/man/get_parameters.Rd +++ b/man/get_parameters.Rd @@ -232,8 +232,6 @@ outputs; default = turned off mixing: \itemize{ -\item mixing_rdt - boolean for whether mixing transmission should only consider -individuals who would not be detected by an RDT test; default = FALSE \item rdt_intercept - the y intercept for the log logit relationship betweeen rdt and microscopy prevalence; default = 0.108 \item rdt_coeff - the coefficient for the log logit relationship betweeen rdt diff --git a/man/run_metapop_simulation.Rd b/man/run_metapop_simulation.Rd index 468043bf..fb1d510a 100644 --- a/man/run_metapop_simulation.Rd +++ b/man/run_metapop_simulation.Rd @@ -9,7 +9,10 @@ run_metapop_simulation( parameters, correlations = NULL, mixing_tt, - mixing + mixing, + p_captured_tt, + p_captured, + p_success ) } \arguments{ @@ -22,13 +25,22 @@ run_metapop_simulation( \item{mixing_tt}{a vector of time steps for each mixing matrix} -\item{mixing}{a list of matrices of mixing coefficients for infectivity towards -mosquitoes. Rows = origin sites, columns = destinations. Each matrix element +\item{mixing}{a list of matrices of mixing coefficients for infectivity. +Rows = origin sites, columns = destinations. Each matrix element describes the mixing pattern from destination to origin. Each matrix element must be between 0 and 1. Each matrix is activated at the corresponding timestep in mixing_tt} + +\item{p_captured_tt}{a vector of time steps for each p_captured matrix} + +\item{p_captured}{a list of matrices representing the probability that +travel between sites is intervened by a test and treat border check. +Dimensions are the same as for \code{mixing}} + +\item{p_success}{the probability that an individual who has tested positive +(through an RDT) successfully clears their infection through treatment} } \value{ -a list of dataframe of results +a list of dataframe of model outputs as in run_simulation } \description{ Run a metapopulation model From 247432c3a557802a0653d35286bd4a0969a358c3 Mon Sep 17 00:00:00 2001 From: Hillary Topazian <80535782+htopazian@users.noreply.github.com> Date: Fri, 7 Oct 2022 11:16:02 +0100 Subject: [PATCH 09/32] fixing metapopulation vignette error --- vignettes/Metapopulation.Rmd | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/vignettes/Metapopulation.Rmd b/vignettes/Metapopulation.Rmd index 57b9a3c8..b6d18d69 100644 --- a/vignettes/Metapopulation.Rmd +++ b/vignettes/Metapopulation.Rmd @@ -86,7 +86,10 @@ metapop_loop <- function(mixing, mixnam){ # mixing matrix parameters = paramslist, correlations = NULL, mixing_tt = 1, - mixing = list(mixing)) + mixing = list(mixing), + p_captured = list(matrix(rep(0, 9), nrow = 3, ncol = 3)), + p_captured_tt = 1, + p_success = 0.95) # convert to dataframe and label EIR and mixing matrix type output <- do.call('rbind', output) From f3669f51ed45e151db409db69cea3d08856e0adf Mon Sep 17 00:00:00 2001 From: Giovanni Charles Date: Thu, 13 Oct 2022 11:02:31 +0100 Subject: [PATCH 10/32] Change test and treat coefficients --- R/mixing.R | 13 ++++--------- 1 file changed, 4 insertions(+), 9 deletions(-) diff --git a/R/mixing.R b/R/mixing.R index 64a0f318..b76b54e6 100644 --- a/R/mixing.R +++ b/R/mixing.R @@ -39,24 +39,19 @@ create_transmission_mixer <- function( function(i) lagged_infectivity[[i]]$get(timestep - parameters[[i]]$delay_gam) ) - treated_coeff <- p_captured_t * rdt_negative * p_success + test_and_treat_coeff <- (1 - p_captured_t * rdt_negative * p_success) + diag(test_and_treat_coeff) <- 1 eir <- vapply( seq(n_species), function(i) { mixed_eir <- t(species_eir[,i] * p_mix) - eir_untreated <- mixed_eir * (1 - p_captured_t) - eir_treated <- mixed_eir * treated_coeff - rowSums(eir_untreated + eir_treated) + rowSums(mixed_eir * test_and_treat_coeff) }, numeric(n_pops) ) - mixed_inf <- inf * p_mix - inf_untreated <- mixed_inf * (1 - p_captured_t) - inf_treated <- mixed_inf * treated_coeff - - inf <- rowSums(inf_untreated + inf_treated) + inf <- rowSums(inf * p_mix * test_and_treat_coeff) list(eir = eir, inf = inf) } From 1d4f4a22e7a2e5b4f2a8d42b5555298fb7678cdc Mon Sep 17 00:00:00 2001 From: Giovanni Charles Date: Thu, 13 Oct 2022 11:26:47 +0100 Subject: [PATCH 11/32] Update RDT detection model --- R/mixing.R | 30 +++++++----------------------- R/parameters.R | 8 ++++---- 2 files changed, 11 insertions(+), 27 deletions(-) diff --git a/R/mixing.R b/R/mixing.R index b76b54e6..a069ce40 100644 --- a/R/mixing.R +++ b/R/mixing.R @@ -57,30 +57,14 @@ create_transmission_mixer <- function( } } -# Estimates RDT prevalence from miscroscopy prevalence, -# Wu et al 2015 Nature paper +# Estimates RDT prevalence from PCR prevalence, +# We assume PCR prevalence is close to the true proportion of infectious people +# in the population +# values take from Wu et al 2015: https://doi.org/10.1038/nature16039 rdt_detectable <- function(variables, parameters, timestep) { - microscopy_prev <- calculate_detected( - variables$state, - variables$birth, - variables$id, - parameters, - timestep - )$size() / parameters$human_population - logit_prev <- log(microscopy_prev / (1 - microscopy_prev)) + infectious_prev <- variables$state$get_size_of( + c('D', 'A', 'U')) / parameters$human_population + logit_prev <- log(infectious_prev / (1 - microscopy_prev)) logit_rdt <- parameters$rdt_intercept + parameters$rdt_coeff * logit_prev exp(logit_rdt) / (1 + exp(logit_rdt)) } - -# return proportion of individuals detectable by microscopy -calculate_detected <- function(state, birth, immunity, parameters, timestep) { - asymptomatic <- state$get_index_of('A') - prob <- probability_of_detection( - get_age(birth$get_values(asymptomatic), timestep), - immunity$get_values(asymptomatic), - parameters - ) - asymptomatic_detected <- bitset_at(asymptomatic, bernoulli_multi_p(prob)) - clinically_detected <- state$get_index_of(c('Tr', 'D')) - clinically_detected$or(asymptomatic_detected) -} diff --git a/R/parameters.R b/R/parameters.R index 4ecf90c7..2b3ac6e1 100644 --- a/R/parameters.R +++ b/R/parameters.R @@ -211,9 +211,9 @@ #' mixing: #' #' * rdt_intercept - the y intercept for the log logit relationship betweeen rdt -#' and microscopy prevalence; default = 0.108 +#' and PCR prevalence; default = -0.968 #' * rdt_coeff - the coefficient for the log logit relationship betweeen rdt -#' and microscopy prevalence; default = 0.907 +#' and PCR prevalence; default = 1.186 #' #' miscellaneous: #' @@ -402,8 +402,8 @@ get_parameters <- function(overrides = list()) { age_group_rendering_min_ages = numeric(0), age_group_rendering_max_ages = numeric(0), # mixing - rdt_intercept = 0.108, - rdt_coeff = 0.907, + rdt_intercept = -0.968, + rdt_coeff = 1.186, # misc custom_demography = FALSE, human_population = 100, From e568127a89043a3edc9adcbd3bad30be55aff26c Mon Sep 17 00:00:00 2001 From: Giovanni Charles Date: Thu, 13 Oct 2022 11:35:56 +0100 Subject: [PATCH 12/32] Fix regression tests --- R/mixing.R | 2 +- tests/testthat/test-mixing-integration.R | 8 ++++---- tests/testthat/test-simulation-e2e.R | 2 +- 3 files changed, 6 insertions(+), 6 deletions(-) diff --git a/R/mixing.R b/R/mixing.R index a069ce40..4c961f5d 100644 --- a/R/mixing.R +++ b/R/mixing.R @@ -64,7 +64,7 @@ create_transmission_mixer <- function( rdt_detectable <- function(variables, parameters, timestep) { infectious_prev <- variables$state$get_size_of( c('D', 'A', 'U')) / parameters$human_population - logit_prev <- log(infectious_prev / (1 - microscopy_prev)) + logit_prev <- log(infectious_prev / (1 - infectious_prev)) logit_rdt <- parameters$rdt_intercept + parameters$rdt_coeff * logit_prev exp(logit_rdt) / (1 + exp(logit_rdt)) } diff --git a/tests/testthat/test-mixing-integration.R b/tests/testthat/test-mixing-integration.R index 141cf658..a7350139 100644 --- a/tests/testthat/test-mixing-integration.R +++ b/tests/testthat/test-mixing-integration.R @@ -133,11 +133,11 @@ test_that('rdt_detectable adjusts correctly with identity parameters', { parameters <- get_parameters( list(human_population = population, rdt_intercept = 0, rdt_coeff = 1) ) - variables <- create_variables(parameters) - - mock_detected <- mockery::mock(individual::Bitset$new(4)$insert(c(1, 2))) # 50% + variables <- list(state = individual::CategoricalVariable$new( + c('S', 'Tr', 'D', 'A', 'U'), + c('S', 'Tr', 'A', 'U') + )) - mockery::stub(rdt_detectable, 'calculate_detected', mock_detected) rdt_prev <- rdt_detectable(variables, parameters, 1) expect_equal(rdt_prev, 0.5) diff --git a/tests/testthat/test-simulation-e2e.R b/tests/testthat/test-simulation-e2e.R index 52859b8a..1ec92bf5 100644 --- a/tests/testthat/test-simulation-e2e.R +++ b/tests/testthat/test-simulation-e2e.R @@ -31,7 +31,7 @@ test_that('run_metapop_simulation integrates two models correctly', { parameters <- get_parameters(list(human_population = population)) parametersets <- list(parameters, parameters) mixing <- diag(nrow = 2) - p_captured <- diag(nrow = 2) + p_captured <- 1 - diag(nrow = 2) outputs <- run_metapop_simulation( timesteps, From 0057fda839f8d9232916e97ff31cba4bd8169ce6 Mon Sep 17 00:00:00 2001 From: Giovanni Charles Date: Thu, 13 Oct 2022 13:51:43 +0100 Subject: [PATCH 13/32] RDT+ --- R/mixing.R | 7 +++---- 1 file changed, 3 insertions(+), 4 deletions(-) diff --git a/R/mixing.R b/R/mixing.R index 4c961f5d..33a56872 100644 --- a/R/mixing.R +++ b/R/mixing.R @@ -11,11 +11,10 @@ create_transmission_mixer <- function( ) { function (timestep) { n_pops <- length(variables) - # calculate all the mixing values once per timestep - rdt_negative <- vnapply( + rdt_positive <- vnapply( seq(n_pops), function(i) { - 1 - rdt_detectable(variables[[i]], parameters[[i]], timestep) + rdt_detectable(variables[[i]], parameters[[i]], timestep) } ) p_mix <- mixing[[match_timestep(mixing_tt, timestep)]] @@ -39,7 +38,7 @@ create_transmission_mixer <- function( function(i) lagged_infectivity[[i]]$get(timestep - parameters[[i]]$delay_gam) ) - test_and_treat_coeff <- (1 - p_captured_t * rdt_negative * p_success) + test_and_treat_coeff <- (1 - p_captured_t * rdt_positive * p_success) diag(test_and_treat_coeff) <- 1 eir <- vapply( From a591eb09cca2a6d0b7f398a7dcf5ee370a624309 Mon Sep 17 00:00:00 2001 From: Giovanni Charles Date: Fri, 14 Oct 2022 15:19:00 +0100 Subject: [PATCH 14/32] Add test case for completely removing transmission --- tests/testthat/test-mixing-integration.R | 39 ++++++++++++++++++++++++ 1 file changed, 39 insertions(+) diff --git a/tests/testthat/test-mixing-integration.R b/tests/testthat/test-mixing-integration.R index a7350139..b0f46cb1 100644 --- a/tests/testthat/test-mixing-integration.R +++ b/tests/testthat/test-mixing-integration.R @@ -142,3 +142,42 @@ test_that('rdt_detectable adjusts correctly with identity parameters', { expect_equal(rdt_prev, 0.5) }) + +test_that('mixing_fn can completely remove mixed transmission', { + population <- 4 + timestep <- 5 + renderer <- individual::Render$new(5) + parameters <- get_parameters( + list(human_population = population, rdt_intercept = 0, rdt_coeff = 1) + ) + events <- create_events(parameters) + variables <- create_variables(parameters) + lagged_infectivity <- list(LaggedValue$new(12.5, .1), LaggedValue$new(12.5, .2)) + lagged_eir <- list(list(LaggedValue$new(12, 10)), list(LaggedValue$new(12, 20))) + + mock_rdt <- mockery::mock(1., cycle = TRUE) + + mixing_fn <- create_transmission_mixer( + list(variables, variables), + list(parameters, parameters), + lagged_eir, + lagged_infectivity, + mixing_tt = 1, + mixing = list(matrix(rep(.5, 4), nrow=2, ncol=2)), + p_captured_tt = 1, + p_captured = list(1 - diag(nrow=2)), # full coverage + p_success = 1 + ) + + mockery::stub(mixing_fn, 'rdt_detectable', mock_rdt) + + transmission <- mixing_fn(timestep) + expect_equal( + transmission, + list( + eir = matrix(c(5, 10), nrow=2, ncol=1), + inf = c(.05, .1) + ) + ) +}) + From ba4bedc2585275abed21c0d6c7fdaf14b31fa7f3 Mon Sep 17 00:00:00 2001 From: Giovanni Charles Date: Wed, 6 Sep 2023 10:47:52 +0100 Subject: [PATCH 15/32] Add asymmetric transmission in mixing: * Added export_mixing and import_mixing arguments to run_metapop_... * Update create_transmission_mixer to mix eir on import and foim on export * Fix regression tests --- R/mixing.R | 11 +++-- R/model.R | 55 +++++++++++++---------- tests/testthat/test-mixing-integration.R | 57 ++++++++++++++++++++++-- tests/testthat/test-simulation-e2e.R | 14 +++--- 4 files changed, 100 insertions(+), 37 deletions(-) diff --git a/R/mixing.R b/R/mixing.R index 33a56872..d9499c89 100644 --- a/R/mixing.R +++ b/R/mixing.R @@ -4,7 +4,8 @@ create_transmission_mixer <- function( lagged_eir, lagged_infectivity, mixing_tt, - mixing, + export_mixing, + import_mixing, p_captured_tt, p_captured, p_success @@ -17,7 +18,9 @@ create_transmission_mixer <- function( rdt_detectable(variables[[i]], parameters[[i]], timestep) } ) - p_mix <- mixing[[match_timestep(mixing_tt, timestep)]] + mix_t <- match_timestep(mixing_tt, timestep) + p_mix_export <- export_mixing[[mix_t]] + p_mix_import <- import_mixing[[mix_t]] p_captured_t <- p_captured[[match_timestep(p_captured_tt, timestep)]] n_species <- length(parameters[[1]]$species) species_eir <- t(vapply( @@ -44,13 +47,13 @@ create_transmission_mixer <- function( eir <- vapply( seq(n_species), function(i) { - mixed_eir <- t(species_eir[,i] * p_mix) + mixed_eir <- t(species_eir[,i] * p_mix_import) rowSums(mixed_eir * test_and_treat_coeff) }, numeric(n_pops) ) - inf <- rowSums(inf * p_mix * test_and_treat_coeff) + inf <- rowSums(inf * p_mix_export * test_and_treat_coeff) list(eir = eir, inf = inf) } diff --git a/R/model.R b/R/model.R index 4cd1fe68..a38901c4 100644 --- a/R/model.R +++ b/R/model.R @@ -131,14 +131,16 @@ run_simulation <- function( #' @param correlations a list of correlation parameters for each population #' (default: NULL) #' @param mixing_tt a vector of time steps for each mixing matrix -#' @param mixing a list of matrices of mixing coefficients for infectivity. +#' @param export_mixing a list of matrices of coefficients for exportation of infectivity. #' Rows = origin sites, columns = destinations. Each matrix element #' describes the mixing pattern from destination to origin. Each matrix element must #' be between 0 and 1. Each matrix is activated at the corresponding timestep in mixing_tt +#' @param import_mixing a list of matrices of coefficients for importation of +#' infectivity. #' @param p_captured_tt a vector of time steps for each p_captured matrix #' @param p_captured a list of matrices representing the probability that #' travel between sites is intervened by a test and treat border check. -#' Dimensions are the same as for `mixing` +#' Dimensions are the same as for `export_mixing` #' @param p_success the probability that an individual who has tested positive #' (through an RDT) successfully clears their infection through treatment #' @return a list of dataframe of model outputs as in run_simulation @@ -148,32 +150,39 @@ run_metapop_simulation <- function( parameters, correlations = NULL, mixing_tt, - mixing, + export_mixing, + import_mixing, p_captured_tt, p_captured, p_success ) { random_seed(ceiling(runif(1) * .Machine$integer.max)) - if (!is.list(mixing)) { - stop('mixing must be a list of mixing matrices') - } - - if (length(mixing_tt) != length(mixing)) { - stop('mixing_tt must be the same length as mixing') - } - for (i in seq_along(mixing)) { - if (nrow(mixing[[i]]) != ncol(mixing[[i]])) { - stop(sprintf('mixing matrix %d must be square', i)) + for (mixing in list(export_mixing, import_mixing)) { + if (!is.list(mixing)) { + stop('mixing arguments must be a list of mixing matrices') } - if (nrow(mixing[[i]]) != length(parameters)) { - stop(sprintf("mixing matrix %d's rows must match length of parameters", i)) + + if (length(mixing_tt) != length(mixing)) { + stop('mixing_tt must be the same length as mixing matrices') } - if (!all(vlapply(seq_along(parameters), function(x) approx_sum(mixing[[i]][x,], 1)))) { - warning(sprintf("all of mixing matrix %d's rows must sum to 1", i)) + + for (i in seq_along(mixing)) { + if (nrow(mixing[[i]]) != ncol(mixing[[i]])) { + stop(sprintf('mixing matrix %d must be square', i)) + } + if (nrow(mixing[[i]]) != length(parameters)) { + stop(sprintf("mixing matrix %d's rows must match length of parameters", i)) + } + if (!all(vlapply(seq_along(parameters), function(x) approx_sum(mixing[[i]][x,], 1)))) { + warning(sprintf("all of mixing matrix %d's rows must sum to 1", i)) + } + if (!all(vlapply(seq_along(parameters), function(x) approx_sum(mixing[[i]][,x], 1)))) { + warning(sprintf('mixing matrix %d is asymmetrical', i)) + } } - if (!all(vlapply(seq_along(parameters), function(x) approx_sum(mixing[[i]][,x], 1)))) { - warning(sprintf('mixing matrix %d is asymmetrical', i)) + if (length(mixing_tt) != length(mixing)) { + stop('mixing_tt must be the same size as mixing') } } @@ -189,14 +198,11 @@ run_metapop_simulation <- function( if (!is.numeric(mixing_tt)) { stop('mixing_tt must be numeric') } - if (length(mixing_tt) != length(mixing)) { - stop('mixing_tt must be the same size as mixing') - } + if (length(p_captured_tt) != length(p_captured)) { stop('p_captured_tt must be the same length as p_captured') } - if (is.null(correlations)) { correlations <- lapply(parameters, get_correlation_parameters) } @@ -244,7 +250,8 @@ run_metapop_simulation <- function( lagged_eir, lagged_infectivity, mixing_tt, - mixing, + export_mixing, + import_mixing, p_captured_tt, p_captured, p_success diff --git a/tests/testthat/test-mixing-integration.R b/tests/testthat/test-mixing-integration.R index b0f46cb1..2710e710 100644 --- a/tests/testthat/test-mixing-integration.R +++ b/tests/testthat/test-mixing-integration.R @@ -70,7 +70,8 @@ test_that('mixing_fn can return isolated transmission for multiple species', { lagged_eir, lagged_infectivity, mixing_tt = 1, - mixing = list(diag(nrow=2)), + export_mixing = list(diag(nrow=2)), + import_mixing = list(diag(nrow=2)), p_captured_tt = 1, p_captured = list(1 - diag(nrow=2)), # full coverage p_success = 1 @@ -88,6 +89,54 @@ test_that('mixing_fn can return isolated transmission for multiple species', { ) }) +test_that('mixing_fn can return asymmetric transmission', { + population <- 4 + timestep <- 5 + renderer <- individual::Render$new(5) + parameters <- get_parameters( + list(human_population = population) + ) + events <- create_events(parameters) + variables <- create_variables(parameters) + lagged_infectivity <- list( + LaggedValue$new(12.5, .1), # location 1 + LaggedValue$new(12.5, .2) # location 2 + ) + + lagged_eir <- list( + list(LaggedValue$new(12, 10)), # location 1 + list(LaggedValue$new(12, 20)) # location 2 + ) + + mock_rdt <- mockery::mock(.5, cycle = TRUE) # 50% + + mixing_fn <- create_transmission_mixer( + list(variables, variables), + list(parameters, parameters), + lagged_eir, + lagged_infectivity, + mixing_tt = 1, + export_mixing = list(diag(nrow=2)), + import_mixing = list(matrix(.5, nrow=2, ncol=2)), + p_captured_tt = 1, + p_captured = list(matrix(0, nrow=2, ncol=2)), # no coverage + p_success = 1 + ) + + mockery::stub(mixing_fn, 'rdt_detectable', mock_rdt) + + transmission <- mixing_fn(timestep) + expect_equal( + transmission, + list( + eir = matrix(c(15, 15), nrow=2, ncol=1), + inf = c(.1, .2) + ) + ) +}) + + + test_that('mixing_fn can halve the mixed transmission for 50% rdt detection', { population <- 4 @@ -110,7 +159,8 @@ test_that('mixing_fn can halve the mixed transmission for 50% rdt detection', { lagged_eir, lagged_infectivity, mixing_tt = 1, - mixing = list(matrix(rep(.5, 4), nrow=2, ncol=2)), + export_mixing = list(matrix(rep(.5, 4), nrow=2, ncol=2)), + import_mixing = list(matrix(rep(.5, 4), nrow=2, ncol=2)), p_captured_tt = 1, p_captured = list(1 - diag(nrow=2)), # full coverage p_success = 1 @@ -163,7 +213,8 @@ test_that('mixing_fn can completely remove mixed transmission', { lagged_eir, lagged_infectivity, mixing_tt = 1, - mixing = list(matrix(rep(.5, 4), nrow=2, ncol=2)), + export_mixing = list(matrix(rep(.5, 4), nrow=2, ncol=2)), + import_mixing = list(matrix(rep(.5, 4), nrow=2, ncol=2)), p_captured_tt = 1, p_captured = list(1 - diag(nrow=2)), # full coverage p_success = 1 diff --git a/tests/testthat/test-simulation-e2e.R b/tests/testthat/test-simulation-e2e.R index 1ec92bf5..fc8338ed 100644 --- a/tests/testthat/test-simulation-e2e.R +++ b/tests/testthat/test-simulation-e2e.R @@ -17,7 +17,8 @@ test_that('run_metapop_simulation fails with incorrect mixing matrix', { parameters, NULL, mixing_tt = 1, - list(mixing), + export_mixing = list(mixing), + import_mixing = list(mixing), p_captured_tt = 1, p_captured = list(diag(nrow=2)), p_success = 1 @@ -37,11 +38,12 @@ test_that('run_metapop_simulation integrates two models correctly', { timesteps, parametersets, NULL, - 1, - list(mixing), - 1, - list(p_captured), - 1 + mixing_tt = 1, + export_mixing = list(mixing), + import_mixing = list(mixing), + p_captured_tt = 1, + p_captured = list(p_captured), + p_success = 1 ) expect_equal(length(outputs), 2) expect_equal(nrow(outputs[[1]]), 5) From 610c5cb9fade8cbd9163c42d936e9979fb0af5e8 Mon Sep 17 00:00:00 2001 From: RJSheppard Date: Wed, 8 May 2024 14:51:27 +0100 Subject: [PATCH 16/32] Function for setting age-structured outputs for incidence, prevalence and immunity. Discrete age groups are set using a list, where vectors within the list result in contiguous age group rendering. Also correcting spelling of prevalence in create_prevalence_renderer function. This is a correction attempting to remove issues around line endings. --- NAMESPACE | 1 + R/output_parameters.R | 39 ++++++++++++++++++++++++++++ R/processes.R | 16 +++++++++--- R/render.R | 26 ++++++++++++++++++- man/set_epi_outputs.Rd | 42 +++++++++++++++++++++++++++++++ tests/testthat/test-output.R | 49 ++++++++++++++++++++++++++++++++++++ tests/testthat/test-render.R | 4 +-- 7 files changed, 171 insertions(+), 6 deletions(-) create mode 100644 R/output_parameters.R create mode 100644 man/set_epi_outputs.Rd create mode 100644 tests/testthat/test-output.R diff --git a/NAMESPACE b/NAMESPACE index 4ba1e15d..aa29ccd8 100644 --- a/NAMESPACE +++ b/NAMESPACE @@ -24,6 +24,7 @@ export(set_carrying_capacity) export(set_clinical_treatment) export(set_demography) export(set_drugs) +export(set_epi_outputs) export(set_equilibrium) export(set_mass_pev) export(set_mda) diff --git a/R/output_parameters.R b/R/output_parameters.R new file mode 100644 index 00000000..7e752ecf --- /dev/null +++ b/R/output_parameters.R @@ -0,0 +1,39 @@ +#' @title Parameterise age grouped output rendering +#' +#' @details this function produces discrete and contiguous age groups, inclusive of the lower +#' age limit and exclusive of the upper age limit: e.g., list(c(0, 10, 100), c(200, 250) will produce +#' three age groups: 0-9, 10-99 and 200-249 in days. +#' @param parameters the model parameters +#' @param age_group age breaks for population size outputs; default = NULL +#' @param incidence age breaks for incidence outputs (D+Tr+A); default = NULL +#' @param clinical_incidence age breaks for clinical incidence outputs (symptomatic); default = c(0, 1825) +#' @param severe_incidence age breaks for severe incidence outputs; default = NULL +#' @param prevalence age breaks for clinical prevalence outputs (pcr and lm detectable infections); default = c(730, 3650) +#' @export +#' +set_epi_outputs <- function(parameters, + age_group = NULL, + incidence = NULL, + clinical_incidence = NULL, + severe_incidence = NULL, + prevalence = NULL, + ica = NULL, + icm = NULL, + iva = NULL, + ivm = NULL, + id = NULL, + ib = NULL +){ + + parent_formals <- names(formals()) + parent_formals <- parent_formals[which(parent_formals != "parameters")] + outputs <- parent_formals[!unlist(lapply(parent_formals, function(x){is.null(get(x))}))] + + for (output in outputs) { + if(!is.list(get(output))){stop("Each age input must be a list of vectors")} + parameters[[paste0(output, "_rendering_min_ages")]] <- unlist(lapply(get(output), function(x){x[-length(x)]})) + parameters[[paste0(output, "_rendering_max_ages")]] <- unlist(lapply(get(output), function(x){x[-1]-1})) + } + + parameters +} diff --git a/R/processes.R b/R/processes.R index 12f8c3db..985d2019 100644 --- a/R/processes.R +++ b/R/processes.R @@ -181,6 +181,9 @@ create_processes <- function( # ========= # Rendering # ========= + + imm_var_names <- c('ica', 'icm', 'id', 'ib', 'iva', 'ivm') + processes <- c( processes, individual::categorical_count_renderer_process( @@ -190,10 +193,10 @@ create_processes <- function( ), create_variable_mean_renderer_process( renderer, - c('ica', 'icm', 'ib', 'id', 'iva', 'ivm'), - variables[c('ica', 'icm', 'ib', 'id', 'iva', 'ivm')] + imm_var_names, + variables[imm_var_names] ), - create_prevelance_renderer( + create_prevalence_renderer( variables$state, variables$birth, variables$id, @@ -205,6 +208,13 @@ create_processes <- function( parameters, renderer ), + create_age_variable_mean_renderer_process( + imm_var_names[paste0(imm_var_names,"_rendering_min_ages") %in% names(parameters)], + variables[imm_var_names[paste0(imm_var_names,"_rendering_min_ages") %in% names(parameters)]], + variables$birth, + parameters, + renderer + ), create_compartmental_rendering_process(renderer, solvers, parameters) ) diff --git a/R/render.R b/R/render.R index 60cb5b73..820f15c0 100644 --- a/R/render.R +++ b/R/render.R @@ -14,7 +14,7 @@ in_age_range <- function(birth, timestep, lower, upper) { #' @param renderer model renderer #' #' @noRd -create_prevelance_renderer <- function( +create_prevalence_renderer <- function( state, birth, immunity, @@ -119,6 +119,30 @@ create_variable_mean_renderer_process <- function( } } +create_age_variable_mean_renderer_process <- function( + names, + variables, + birth, + parameters, + renderer +) { + function(timestep) { + for (i in seq_along(variables)) { + for (j in seq_along(parameters[[paste0(names[[i]],"_rendering_min_ages")]])) { + lower <- parameters[[paste0(names[[i]],"_rendering_min_ages")]][[j]] + upper <- parameters[[paste0(names[[i]],"_rendering_max_ages")]][[j]] + in_age <- in_age_range(birth, timestep, lower, upper) + renderer$render(paste0('n_', lower, '_', upper), in_age$size(), timestep) + renderer$render( + paste0(names[[i]], '_mean_', lower, '_', upper), + mean(variables[[i]]$get_values(index = in_age)), + timestep + ) + } + } + } +} + create_vector_count_renderer_individual <- function( mosquito_state, species, diff --git a/man/set_epi_outputs.Rd b/man/set_epi_outputs.Rd new file mode 100644 index 00000000..7e2b07ef --- /dev/null +++ b/man/set_epi_outputs.Rd @@ -0,0 +1,42 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/output_parameters.R +\name{set_epi_outputs} +\alias{set_epi_outputs} +\title{Parameterise age grouped output rendering} +\usage{ +set_epi_outputs( + parameters, + age_group = NULL, + incidence = NULL, + clinical_incidence = NULL, + severe_incidence = NULL, + prevalence = NULL, + ica = NULL, + icm = NULL, + iva = NULL, + ivm = NULL, + id = NULL, + ib = NULL +) +} +\arguments{ +\item{parameters}{the model parameters} + +\item{age_group}{age breaks for population size outputs; default = NULL} + +\item{incidence}{age breaks for incidence outputs (D+Tr+A); default = NULL} + +\item{clinical_incidence}{age breaks for clinical incidence outputs (symptomatic); default = c(0, 1825)} + +\item{severe_incidence}{age breaks for severe incidence outputs; default = NULL} + +\item{prevalence}{age breaks for clinical prevalence outputs (pcr and lm detectable infections); default = c(730, 3650)} +} +\description{ +Parameterise age grouped output rendering +} +\details{ +this function produces discrete and contiguous age groups, inclusive of the lower +age limit and exclusive of the upper age limit: e.g., list(c(0, 10, 100), c(200, 250) will produce +three age groups: 0-9, 10-99 and 200-249 in days. +} diff --git a/tests/testthat/test-output.R b/tests/testthat/test-output.R new file mode 100644 index 00000000..ee221d76 --- /dev/null +++ b/tests/testthat/test-output.R @@ -0,0 +1,49 @@ +test_that('Test age parameter function works', { + parameters <- get_parameters() + age_limits <- c(0,1,2,3)*365 + parameters <- set_epi_outputs(parameters, + age_group = list(age_limits), + incidence = list(age_limits+1), + clinical_incidence = list(age_limits+2), + severe_incidence = list(age_limits+3), + prevalence = list(age_limits+4), + ica = list(age_limits+5), + icm = list(age_limits+6), + id = list(age_limits+7), + ib = list(age_limits+8), + iva = list(age_limits+9), + ivm = list(age_limits+10) + ) + + sim <- run_simulation(timesteps = 1, parameters) + + expect_true( + all( + paste0(rep(c("n_age", + "n", "n_inc", "p_inc", + "n","n_inc_clinical","p_inc_clinical", + "n","n_inc_severe","p_inc_severe", + "n","n_detect","p_detect", + "ica_mean", "icm_mean","id_mean","ib_mean","iva_mean","ivm_mean"), each = 3),"_", + age_limits[-4]+rep(c(0,rep(c(1:4), each = 3),5:10), each = 3),"_",age_limits[-1]-1+rep(c(0,rep(c(1:4), each = 3),5:10), each = 3) + ) %in% + names(sim))) + +}) + +test_that('Test age parameter multiple sequences function works', { + parameters <- get_parameters() + age_limits <- c(0,1,2,3)*365 + parameters <- set_epi_outputs(parameters, + age_group = list(age_limits, age_limits+100)) + + sim <- run_simulation(timesteps = 1, parameters) + + expect_true( + all( + paste0(rep(c("n_age"), each = 3),"_", + c(age_limits[-4], age_limits[-4]+100), "_", c(age_limits[-1], age_limits[-1]+100)-1 + ) %in% + names(sim))) + +}) diff --git a/tests/testthat/test-render.R b/tests/testthat/test-render.R index 920f09bb..07f256c3 100644 --- a/tests/testthat/test-render.R +++ b/tests/testthat/test-render.R @@ -11,7 +11,7 @@ test_that('that default rendering works', { immunity <- individual::DoubleVariable$new(rep(1, 4)) renderer <- mock_render(1) - process <- create_prevelance_renderer( + process <- create_prevalence_renderer( state, birth, immunity, @@ -62,7 +62,7 @@ test_that('that default rendering works when no one is in the age range', { immunity <- individual::DoubleVariable$new(rep(1, 4)) renderer <- mock_render(1) - process <- create_prevelance_renderer( + process <- create_prevalence_renderer( state, birth, immunity, From 55d83ea493dd8a3dd70133f7c400aa0e8f1ca31e Mon Sep 17 00:00:00 2001 From: RJSheppard Date: Thu, 9 May 2024 10:34:26 +0100 Subject: [PATCH 17/32] Added immunity parameter info to documentation of epi outputs function. --- R/output_parameters.R | 6 ++++++ man/set_epi_outputs.Rd | 12 ++++++++++++ 2 files changed, 18 insertions(+) diff --git a/R/output_parameters.R b/R/output_parameters.R index 7e752ecf..4a1087ec 100644 --- a/R/output_parameters.R +++ b/R/output_parameters.R @@ -9,6 +9,12 @@ #' @param clinical_incidence age breaks for clinical incidence outputs (symptomatic); default = c(0, 1825) #' @param severe_incidence age breaks for severe incidence outputs; default = NULL #' @param prevalence age breaks for clinical prevalence outputs (pcr and lm detectable infections); default = c(730, 3650) +#' @param ica age breaks for average acquired clinical immunity; default = NULL +#' @param icm age breaks for average maternal clinical immunity; default = NULL +#' @param iva age breaks for average acquired severe immunity; default = NULL +#' @param ivm age breaks for average maternal severe immunity; default = NULL +#' @param id age breaks for average immunity to detectability; default = NULL +#' @param ib age breaks for average blood immunity; default = NULL #' @export #' set_epi_outputs <- function(parameters, diff --git a/man/set_epi_outputs.Rd b/man/set_epi_outputs.Rd index 7e2b07ef..0e9dc1e4 100644 --- a/man/set_epi_outputs.Rd +++ b/man/set_epi_outputs.Rd @@ -31,6 +31,18 @@ set_epi_outputs( \item{severe_incidence}{age breaks for severe incidence outputs; default = NULL} \item{prevalence}{age breaks for clinical prevalence outputs (pcr and lm detectable infections); default = c(730, 3650)} + +\item{ica}{age breaks for average acquired clinical immunity; default = NULL} + +\item{icm}{age breaks for average maternal clinical immunity; default = NULL} + +\item{iva}{age breaks for average acquired severe immunity; default = NULL} + +\item{ivm}{age breaks for average maternal severe immunity; default = NULL} + +\item{id}{age breaks for average immunity to detectability; default = NULL} + +\item{ib}{age breaks for average blood immunity; default = NULL} } \description{ Parameterise age grouped output rendering From abdcef0b11680b645f7cfa196902076b3f9aad8e Mon Sep 17 00:00:00 2001 From: RJSheppard Date: Wed, 8 May 2024 14:51:27 +0100 Subject: [PATCH 18/32] Function for setting age-structured outputs for incidence, prevalence and immunity. Discrete age groups are set using a list, where vectors within the list result in contiguous age group rendering. Also correcting spelling of prevalence in create_prevalence_renderer function. This is a correction attempting to remove issues around line endings. --- NAMESPACE | 1 + R/output_parameters.R | 39 ++++++++++++++++++++++++++++ R/processes.R | 16 +++++++++--- R/render.R | 26 ++++++++++++++++++- man/set_epi_outputs.Rd | 42 +++++++++++++++++++++++++++++++ tests/testthat/test-output.R | 49 ++++++++++++++++++++++++++++++++++++ tests/testthat/test-render.R | 4 +-- 7 files changed, 171 insertions(+), 6 deletions(-) create mode 100644 R/output_parameters.R create mode 100644 man/set_epi_outputs.Rd create mode 100644 tests/testthat/test-output.R diff --git a/NAMESPACE b/NAMESPACE index 4ba1e15d..aa29ccd8 100644 --- a/NAMESPACE +++ b/NAMESPACE @@ -24,6 +24,7 @@ export(set_carrying_capacity) export(set_clinical_treatment) export(set_demography) export(set_drugs) +export(set_epi_outputs) export(set_equilibrium) export(set_mass_pev) export(set_mda) diff --git a/R/output_parameters.R b/R/output_parameters.R new file mode 100644 index 00000000..7e752ecf --- /dev/null +++ b/R/output_parameters.R @@ -0,0 +1,39 @@ +#' @title Parameterise age grouped output rendering +#' +#' @details this function produces discrete and contiguous age groups, inclusive of the lower +#' age limit and exclusive of the upper age limit: e.g., list(c(0, 10, 100), c(200, 250) will produce +#' three age groups: 0-9, 10-99 and 200-249 in days. +#' @param parameters the model parameters +#' @param age_group age breaks for population size outputs; default = NULL +#' @param incidence age breaks for incidence outputs (D+Tr+A); default = NULL +#' @param clinical_incidence age breaks for clinical incidence outputs (symptomatic); default = c(0, 1825) +#' @param severe_incidence age breaks for severe incidence outputs; default = NULL +#' @param prevalence age breaks for clinical prevalence outputs (pcr and lm detectable infections); default = c(730, 3650) +#' @export +#' +set_epi_outputs <- function(parameters, + age_group = NULL, + incidence = NULL, + clinical_incidence = NULL, + severe_incidence = NULL, + prevalence = NULL, + ica = NULL, + icm = NULL, + iva = NULL, + ivm = NULL, + id = NULL, + ib = NULL +){ + + parent_formals <- names(formals()) + parent_formals <- parent_formals[which(parent_formals != "parameters")] + outputs <- parent_formals[!unlist(lapply(parent_formals, function(x){is.null(get(x))}))] + + for (output in outputs) { + if(!is.list(get(output))){stop("Each age input must be a list of vectors")} + parameters[[paste0(output, "_rendering_min_ages")]] <- unlist(lapply(get(output), function(x){x[-length(x)]})) + parameters[[paste0(output, "_rendering_max_ages")]] <- unlist(lapply(get(output), function(x){x[-1]-1})) + } + + parameters +} diff --git a/R/processes.R b/R/processes.R index 12f8c3db..985d2019 100644 --- a/R/processes.R +++ b/R/processes.R @@ -181,6 +181,9 @@ create_processes <- function( # ========= # Rendering # ========= + + imm_var_names <- c('ica', 'icm', 'id', 'ib', 'iva', 'ivm') + processes <- c( processes, individual::categorical_count_renderer_process( @@ -190,10 +193,10 @@ create_processes <- function( ), create_variable_mean_renderer_process( renderer, - c('ica', 'icm', 'ib', 'id', 'iva', 'ivm'), - variables[c('ica', 'icm', 'ib', 'id', 'iva', 'ivm')] + imm_var_names, + variables[imm_var_names] ), - create_prevelance_renderer( + create_prevalence_renderer( variables$state, variables$birth, variables$id, @@ -205,6 +208,13 @@ create_processes <- function( parameters, renderer ), + create_age_variable_mean_renderer_process( + imm_var_names[paste0(imm_var_names,"_rendering_min_ages") %in% names(parameters)], + variables[imm_var_names[paste0(imm_var_names,"_rendering_min_ages") %in% names(parameters)]], + variables$birth, + parameters, + renderer + ), create_compartmental_rendering_process(renderer, solvers, parameters) ) diff --git a/R/render.R b/R/render.R index 4f5816f3..ac1e5656 100644 --- a/R/render.R +++ b/R/render.R @@ -17,7 +17,7 @@ in_age_range <- function(birth, timestep, lower, upper) { #' @param renderer model renderer #' #' @noRd -create_prevelance_renderer <- function( +create_prevalence_renderer <- function( state, birth, immunity, @@ -128,6 +128,30 @@ create_variable_mean_renderer_process <- function( } } +create_age_variable_mean_renderer_process <- function( + names, + variables, + birth, + parameters, + renderer +) { + function(timestep) { + for (i in seq_along(variables)) { + for (j in seq_along(parameters[[paste0(names[[i]],"_rendering_min_ages")]])) { + lower <- parameters[[paste0(names[[i]],"_rendering_min_ages")]][[j]] + upper <- parameters[[paste0(names[[i]],"_rendering_max_ages")]][[j]] + in_age <- in_age_range(birth, timestep, lower, upper) + renderer$render(paste0('n_', lower, '_', upper), in_age$size(), timestep) + renderer$render( + paste0(names[[i]], '_mean_', lower, '_', upper), + mean(variables[[i]]$get_values(index = in_age)), + timestep + ) + } + } + } +} + create_vector_count_renderer_individual <- function( mosquito_state, species, diff --git a/man/set_epi_outputs.Rd b/man/set_epi_outputs.Rd new file mode 100644 index 00000000..7e2b07ef --- /dev/null +++ b/man/set_epi_outputs.Rd @@ -0,0 +1,42 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/output_parameters.R +\name{set_epi_outputs} +\alias{set_epi_outputs} +\title{Parameterise age grouped output rendering} +\usage{ +set_epi_outputs( + parameters, + age_group = NULL, + incidence = NULL, + clinical_incidence = NULL, + severe_incidence = NULL, + prevalence = NULL, + ica = NULL, + icm = NULL, + iva = NULL, + ivm = NULL, + id = NULL, + ib = NULL +) +} +\arguments{ +\item{parameters}{the model parameters} + +\item{age_group}{age breaks for population size outputs; default = NULL} + +\item{incidence}{age breaks for incidence outputs (D+Tr+A); default = NULL} + +\item{clinical_incidence}{age breaks for clinical incidence outputs (symptomatic); default = c(0, 1825)} + +\item{severe_incidence}{age breaks for severe incidence outputs; default = NULL} + +\item{prevalence}{age breaks for clinical prevalence outputs (pcr and lm detectable infections); default = c(730, 3650)} +} +\description{ +Parameterise age grouped output rendering +} +\details{ +this function produces discrete and contiguous age groups, inclusive of the lower +age limit and exclusive of the upper age limit: e.g., list(c(0, 10, 100), c(200, 250) will produce +three age groups: 0-9, 10-99 and 200-249 in days. +} diff --git a/tests/testthat/test-output.R b/tests/testthat/test-output.R new file mode 100644 index 00000000..ee221d76 --- /dev/null +++ b/tests/testthat/test-output.R @@ -0,0 +1,49 @@ +test_that('Test age parameter function works', { + parameters <- get_parameters() + age_limits <- c(0,1,2,3)*365 + parameters <- set_epi_outputs(parameters, + age_group = list(age_limits), + incidence = list(age_limits+1), + clinical_incidence = list(age_limits+2), + severe_incidence = list(age_limits+3), + prevalence = list(age_limits+4), + ica = list(age_limits+5), + icm = list(age_limits+6), + id = list(age_limits+7), + ib = list(age_limits+8), + iva = list(age_limits+9), + ivm = list(age_limits+10) + ) + + sim <- run_simulation(timesteps = 1, parameters) + + expect_true( + all( + paste0(rep(c("n_age", + "n", "n_inc", "p_inc", + "n","n_inc_clinical","p_inc_clinical", + "n","n_inc_severe","p_inc_severe", + "n","n_detect","p_detect", + "ica_mean", "icm_mean","id_mean","ib_mean","iva_mean","ivm_mean"), each = 3),"_", + age_limits[-4]+rep(c(0,rep(c(1:4), each = 3),5:10), each = 3),"_",age_limits[-1]-1+rep(c(0,rep(c(1:4), each = 3),5:10), each = 3) + ) %in% + names(sim))) + +}) + +test_that('Test age parameter multiple sequences function works', { + parameters <- get_parameters() + age_limits <- c(0,1,2,3)*365 + parameters <- set_epi_outputs(parameters, + age_group = list(age_limits, age_limits+100)) + + sim <- run_simulation(timesteps = 1, parameters) + + expect_true( + all( + paste0(rep(c("n_age"), each = 3),"_", + c(age_limits[-4], age_limits[-4]+100), "_", c(age_limits[-1], age_limits[-1]+100)-1 + ) %in% + names(sim))) + +}) diff --git a/tests/testthat/test-render.R b/tests/testthat/test-render.R index cc4e9f87..f42c15b4 100644 --- a/tests/testthat/test-render.R +++ b/tests/testthat/test-render.R @@ -11,7 +11,7 @@ test_that('that default rendering works', { immunity <- individual::DoubleVariable$new(rep(1, 4)) renderer <- mock_render(1) - process <- create_prevelance_renderer( + process <- create_prevalence_renderer( state, birth, immunity, @@ -70,7 +70,7 @@ test_that('that default rendering works when no one is in the age range', { immunity <- individual::DoubleVariable$new(rep(1, 4)) renderer <- mock_render(1) - process <- create_prevelance_renderer( + process <- create_prevalence_renderer( state, birth, immunity, From 8786b8102c8a179cd0c4094777f1fe2218d1d413 Mon Sep 17 00:00:00 2001 From: RJSheppard Date: Thu, 9 May 2024 10:34:26 +0100 Subject: [PATCH 19/32] Added immunity parameter info to documentation of epi outputs function. --- R/output_parameters.R | 6 ++++++ man/set_epi_outputs.Rd | 12 ++++++++++++ 2 files changed, 18 insertions(+) diff --git a/R/output_parameters.R b/R/output_parameters.R index 7e752ecf..4a1087ec 100644 --- a/R/output_parameters.R +++ b/R/output_parameters.R @@ -9,6 +9,12 @@ #' @param clinical_incidence age breaks for clinical incidence outputs (symptomatic); default = c(0, 1825) #' @param severe_incidence age breaks for severe incidence outputs; default = NULL #' @param prevalence age breaks for clinical prevalence outputs (pcr and lm detectable infections); default = c(730, 3650) +#' @param ica age breaks for average acquired clinical immunity; default = NULL +#' @param icm age breaks for average maternal clinical immunity; default = NULL +#' @param iva age breaks for average acquired severe immunity; default = NULL +#' @param ivm age breaks for average maternal severe immunity; default = NULL +#' @param id age breaks for average immunity to detectability; default = NULL +#' @param ib age breaks for average blood immunity; default = NULL #' @export #' set_epi_outputs <- function(parameters, diff --git a/man/set_epi_outputs.Rd b/man/set_epi_outputs.Rd index 7e2b07ef..0e9dc1e4 100644 --- a/man/set_epi_outputs.Rd +++ b/man/set_epi_outputs.Rd @@ -31,6 +31,18 @@ set_epi_outputs( \item{severe_incidence}{age breaks for severe incidence outputs; default = NULL} \item{prevalence}{age breaks for clinical prevalence outputs (pcr and lm detectable infections); default = c(730, 3650)} + +\item{ica}{age breaks for average acquired clinical immunity; default = NULL} + +\item{icm}{age breaks for average maternal clinical immunity; default = NULL} + +\item{iva}{age breaks for average acquired severe immunity; default = NULL} + +\item{ivm}{age breaks for average maternal severe immunity; default = NULL} + +\item{id}{age breaks for average immunity to detectability; default = NULL} + +\item{ib}{age breaks for average blood immunity; default = NULL} } \description{ Parameterise age grouped output rendering From a542d109fa7b4f040a0358ca91976c6c6b8e946a Mon Sep 17 00:00:00 2001 From: RJSheppard Date: Thu, 23 May 2024 12:51:40 +0100 Subject: [PATCH 20/32] Changed age limits back to continuous groups (no discrete age groups will be rendered now). Made the code more easier to read. --- R/output_parameters.R | 38 ++++++++++++++++++++++++----------- tests/testthat/test-output.R | 39 ++++++++++-------------------------- 2 files changed, 37 insertions(+), 40 deletions(-) diff --git a/R/output_parameters.R b/R/output_parameters.R index 4a1087ec..d1890229 100644 --- a/R/output_parameters.R +++ b/R/output_parameters.R @@ -1,8 +1,8 @@ #' @title Parameterise age grouped output rendering #' -#' @details this function produces discrete and contiguous age groups, inclusive of the lower -#' age limit and exclusive of the upper age limit: e.g., list(c(0, 10, 100), c(200, 250) will produce -#' three age groups: 0-9, 10-99 and 200-249 in days. +#' @details this function produces contiguous age groups, inclusive of the lower +#' age limit and exclusive of the upper age limit: e.g., c(0, 10, 100) will produce +#' two age groups: 0-9 and 10-99 in days. #' @param parameters the model parameters #' @param age_group age breaks for population size outputs; default = NULL #' @param incidence age breaks for incidence outputs (D+Tr+A); default = NULL @@ -31,15 +31,29 @@ set_epi_outputs <- function(parameters, ib = NULL ){ - parent_formals <- names(formals()) - parent_formals <- parent_formals[which(parent_formals != "parameters")] - outputs <- parent_formals[!unlist(lapply(parent_formals, function(x){is.null(get(x))}))] + input <- list( + age_group = age_group, + incidence = incidence, + clinical_incidence = clinical_incidence, + severe_incidence = severe_incidence, + prevalence = prevalence, + ica = ica, + icm = icm, + iva = iva, + ivm = ivm, + id = id, + ib = ib + ) + input <- input[!sapply(input, is.null)] - for (output in outputs) { - if(!is.list(get(output))){stop("Each age input must be a list of vectors")} - parameters[[paste0(output, "_rendering_min_ages")]] <- unlist(lapply(get(output), function(x){x[-length(x)]})) - parameters[[paste0(output, "_rendering_max_ages")]] <- unlist(lapply(get(output), function(x){x[-1]-1})) + for(i in seq_along(input)){ + name <- names(input)[i] + ages <- input[[i]] + min_ages <- ages[-length(ages)] + max_ages <- ages[-1] - 1 + parameters[[paste0(name, "_rendering_min_ages")]] <- min_ages + parameters[[paste0(name, "_rendering_max_ages")]] <- max_ages } - - parameters + + return(parameters) } diff --git a/tests/testthat/test-output.R b/tests/testthat/test-output.R index ee221d76..956cbd51 100644 --- a/tests/testthat/test-output.R +++ b/tests/testthat/test-output.R @@ -2,17 +2,17 @@ test_that('Test age parameter function works', { parameters <- get_parameters() age_limits <- c(0,1,2,3)*365 parameters <- set_epi_outputs(parameters, - age_group = list(age_limits), - incidence = list(age_limits+1), - clinical_incidence = list(age_limits+2), - severe_incidence = list(age_limits+3), - prevalence = list(age_limits+4), - ica = list(age_limits+5), - icm = list(age_limits+6), - id = list(age_limits+7), - ib = list(age_limits+8), - iva = list(age_limits+9), - ivm = list(age_limits+10) + age_group = age_limits, + incidence = age_limits+1, + clinical_incidence = age_limits+2, + severe_incidence = age_limits+3, + prevalence = age_limits+4, + ica = age_limits+5, + icm = age_limits+6, + id = age_limits+7, + ib = age_limits+8, + iva = age_limits+9, + ivm = age_limits+10 ) sim <- run_simulation(timesteps = 1, parameters) @@ -30,20 +30,3 @@ test_that('Test age parameter function works', { names(sim))) }) - -test_that('Test age parameter multiple sequences function works', { - parameters <- get_parameters() - age_limits <- c(0,1,2,3)*365 - parameters <- set_epi_outputs(parameters, - age_group = list(age_limits, age_limits+100)) - - sim <- run_simulation(timesteps = 1, parameters) - - expect_true( - all( - paste0(rep(c("n_age"), each = 3),"_", - c(age_limits[-4], age_limits[-4]+100), "_", c(age_limits[-1], age_limits[-1]+100)-1 - ) %in% - names(sim))) - -}) From 482fc83ee0cc5d1cdd4d335689f4fa0dc764aa85 Mon Sep 17 00:00:00 2001 From: RJSheppard Date: Thu, 23 May 2024 13:17:39 +0100 Subject: [PATCH 21/32] Rebased with latest dev branch, merging with detect pcr/lm outputs. --- man/set_epi_outputs.Rd | 6 +++--- tests/testthat/test-output.R | 5 +++-- 2 files changed, 6 insertions(+), 5 deletions(-) diff --git a/man/set_epi_outputs.Rd b/man/set_epi_outputs.Rd index 0e9dc1e4..004ed280 100644 --- a/man/set_epi_outputs.Rd +++ b/man/set_epi_outputs.Rd @@ -48,7 +48,7 @@ set_epi_outputs( Parameterise age grouped output rendering } \details{ -this function produces discrete and contiguous age groups, inclusive of the lower -age limit and exclusive of the upper age limit: e.g., list(c(0, 10, 100), c(200, 250) will produce -three age groups: 0-9, 10-99 and 200-249 in days. +this function produces contiguous age groups, inclusive of the lower +age limit and exclusive of the upper age limit: e.g., c(0, 10, 100) will produce +two age groups: 0-9 and 10-99 in days. } diff --git a/tests/testthat/test-output.R b/tests/testthat/test-output.R index 956cbd51..34486679 100644 --- a/tests/testthat/test-output.R +++ b/tests/testthat/test-output.R @@ -23,10 +23,11 @@ test_that('Test age parameter function works', { "n", "n_inc", "p_inc", "n","n_inc_clinical","p_inc_clinical", "n","n_inc_severe","p_inc_severe", - "n","n_detect","p_detect", + "n","n_detect_lm","p_detect_lm","n_detect_pcr", "ica_mean", "icm_mean","id_mean","ib_mean","iva_mean","ivm_mean"), each = 3),"_", - age_limits[-4]+rep(c(0,rep(c(1:4), each = 3),5:10), each = 3),"_",age_limits[-1]-1+rep(c(0,rep(c(1:4), each = 3),5:10), each = 3) + age_limits[-4]+rep(c(0,rep(c(1:3), each = 3), rep(4, 4), 5:10), each = 3),"_",age_limits[-1]-1+rep(c(0,rep(c(1:3), each = 3), rep(4, 4), 5:10), each = 3) ) %in% names(sim))) }) + From b852847655bf1e20aac07b13d3f81eeebd47f483 Mon Sep 17 00:00:00 2001 From: Hillary Topazian <80535782+htopazian@users.noreply.github.com> Date: Thu, 6 Jun 2024 14:14:41 +0100 Subject: [PATCH 22/32] update documentation --- man/CorrelationParameters.Rd | 33 ++++++++++----------------------- man/get_parameters.Rd | 4 ++-- man/run_metapop_simulation.Rd | 10 +++++++--- 3 files changed, 19 insertions(+), 28 deletions(-) diff --git a/man/CorrelationParameters.Rd b/man/CorrelationParameters.Rd index fddb634b..0aebf688 100644 --- a/man/CorrelationParameters.Rd +++ b/man/CorrelationParameters.Rd @@ -37,13 +37,6 @@ interventions) are derived in accordance with the restored data. \section{Methods}{ \subsection{Public methods}{ \itemize{ - -\item \href{#method-new}{\code{CorrelationParameters$new()}} -\item \href{#method-inter_round_rho}{\code{CorrelationParameters$inter_round_rho()}} -\item \href{#method-inter_intervention_rho}{\code{CorrelationParameters$inter_intervention_rho()}} -\item \href{#method-sigma}{\code{CorrelationParameters$sigma()}} -\item \href{#method-mvnorm}{\code{CorrelationParameters$mvnorm()}} -\item \href{#method-clone}{\code{CorrelationParameters$clone()}} \item \href{#method-CorrelationParameters-new}{\code{CorrelationParameters$new()}} \item \href{#method-CorrelationParameters-inter_round_rho}{\code{CorrelationParameters$inter_round_rho()}} \item \href{#method-CorrelationParameters-inter_intervention_rho}{\code{CorrelationParameters$inter_intervention_rho()}} @@ -52,12 +45,11 @@ interventions) are derived in accordance with the restored data. \item \href{#method-CorrelationParameters-save_state}{\code{CorrelationParameters$save_state()}} \item \href{#method-CorrelationParameters-restore_state}{\code{CorrelationParameters$restore_state()}} \item \href{#method-CorrelationParameters-clone}{\code{CorrelationParameters$clone()}} - } } \if{html}{\out{
}} -\if{html}{\out{
}} -\if{latex}{\out{\hypertarget{method-new}{}}} +\if{html}{\out{}} +\if{latex}{\out{\hypertarget{method-CorrelationParameters-new}{}}} \subsection{Method \code{new()}}{ initialise correlation parameters \subsection{Usage}{ @@ -75,8 +67,8 @@ initialise correlation parameters } } \if{html}{\out{
}} -\if{html}{\out{}} -\if{latex}{\out{\hypertarget{method-inter_round_rho}{}}} +\if{html}{\out{}} +\if{latex}{\out{\hypertarget{method-CorrelationParameters-inter_round_rho}{}}} \subsection{Method \code{inter_round_rho()}}{ Add rho between rounds \subsection{Usage}{ @@ -95,8 +87,8 @@ the intervention} } } \if{html}{\out{
}} -\if{html}{\out{}} -\if{latex}{\out{\hypertarget{method-inter_intervention_rho}{}}} +\if{html}{\out{}} +\if{latex}{\out{\hypertarget{method-CorrelationParameters-inter_intervention_rho}{}}} \subsection{Method \code{inter_intervention_rho()}}{ Add rho between interventions \subsection{Usage}{ @@ -118,8 +110,8 @@ the intervention} } } \if{html}{\out{
}} -\if{html}{\out{}} -\if{latex}{\out{\hypertarget{method-sigma}{}}} +\if{html}{\out{}} +\if{latex}{\out{\hypertarget{method-CorrelationParameters-sigma}{}}} \subsection{Method \code{sigma()}}{ Standard deviation of each intervention between rounds \subsection{Usage}{ @@ -128,8 +120,8 @@ Standard deviation of each intervention between rounds } \if{html}{\out{
}} -\if{html}{\out{}} -\if{latex}{\out{\hypertarget{method-mvnorm}{}}} +\if{html}{\out{}} +\if{latex}{\out{\hypertarget{method-CorrelationParameters-mvnorm}{}}} \subsection{Method \code{mvnorm()}}{ multivariate norm draws for these parameters \subsection{Usage}{ @@ -138,10 +130,6 @@ multivariate norm draws for these parameters } \if{html}{\out{
}} - -\if{html}{\out{}} -\if{latex}{\out{\hypertarget{method-clone}{}}} - \if{html}{\out{}} \if{latex}{\out{\hypertarget{method-CorrelationParameters-save_state}{}}} \subsection{Method \code{save_state()}}{ @@ -179,7 +167,6 @@ save_state method.} \if{html}{\out{
}} \if{html}{\out{}} \if{latex}{\out{\hypertarget{method-CorrelationParameters-clone}{}}} - \subsection{Method \code{clone()}}{ The objects of this class are cloneable with this method. \subsection{Usage}{ diff --git a/man/get_parameters.Rd b/man/get_parameters.Rd index b352008b..a71a44d4 100644 --- a/man/get_parameters.Rd +++ b/man/get_parameters.Rd @@ -271,9 +271,9 @@ outputs; default = 730 mixing: \itemize{ \item rdt_intercept - the y intercept for the log logit relationship betweeen rdt -and microscopy prevalence; default = 0.108 +and PCR prevalence; default = -0.968 \item rdt_coeff - the coefficient for the log logit relationship betweeen rdt -and microscopy prevalence; default = 0.907 +and PCR prevalence; default = 1.186 } miscellaneous: diff --git a/man/run_metapop_simulation.Rd b/man/run_metapop_simulation.Rd index fb1d510a..e067f969 100644 --- a/man/run_metapop_simulation.Rd +++ b/man/run_metapop_simulation.Rd @@ -9,7 +9,8 @@ run_metapop_simulation( parameters, correlations = NULL, mixing_tt, - mixing, + export_mixing, + import_mixing, p_captured_tt, p_captured, p_success @@ -25,16 +26,19 @@ run_metapop_simulation( \item{mixing_tt}{a vector of time steps for each mixing matrix} -\item{mixing}{a list of matrices of mixing coefficients for infectivity. +\item{export_mixing}{a list of matrices of coefficients for exportation of infectivity. Rows = origin sites, columns = destinations. Each matrix element describes the mixing pattern from destination to origin. Each matrix element must be between 0 and 1. Each matrix is activated at the corresponding timestep in mixing_tt} +\item{import_mixing}{a list of matrices of coefficients for importation of +infectivity.} + \item{p_captured_tt}{a vector of time steps for each p_captured matrix} \item{p_captured}{a list of matrices representing the probability that travel between sites is intervened by a test and treat border check. -Dimensions are the same as for \code{mixing}} +Dimensions are the same as for \code{export_mixing}} \item{p_success}{the probability that an individual who has tested positive (through an RDT) successfully clears their infection through treatment} From 24a02530468c785433e860f0c0b59361afbd7132 Mon Sep 17 00:00:00 2001 From: Hillary Topazian <80535782+htopazian@users.noreply.github.com> Date: Thu, 6 Jun 2024 14:55:22 +0100 Subject: [PATCH 23/32] fix metapop vignette change mixing to export_mixing and import_mixing --- vignettes/Metapopulation.Rmd | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/vignettes/Metapopulation.Rmd b/vignettes/Metapopulation.Rmd index 435ec37d..ad624b05 100644 --- a/vignettes/Metapopulation.Rmd +++ b/vignettes/Metapopulation.Rmd @@ -86,7 +86,8 @@ metapop_loop <- function(mixing, mixnam){ # mixing matrix parameters = paramslist, correlations = NULL, mixing_tt = 1, - mixing = list(mixing), + export_mixing = list(mixing), + import_mixing = list(mixing), p_captured = list(matrix(rep(0, 9), nrow = 3, ncol = 3)), p_captured_tt = 1, p_success = 0.95) From 7bd8c0df2d0035c5e13aed8c4a06e83f0a37b30f Mon Sep 17 00:00:00 2001 From: Hillary Topazian <80535782+htopazian@users.noreply.github.com> Date: Mon, 1 Jul 2024 11:43:34 +0100 Subject: [PATCH 24/32] Update R/mixing.R MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Co-authored-by: Paul Liétar --- R/mixing.R | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/R/mixing.R b/R/mixing.R index d9499c89..f028c397 100644 --- a/R/mixing.R +++ b/R/mixing.R @@ -13,7 +13,7 @@ create_transmission_mixer <- function( function (timestep) { n_pops <- length(variables) rdt_positive <- vnapply( - seq(n_pops), + seq_len(n_pops), function(i) { rdt_detectable(variables[[i]], parameters[[i]], timestep) } From 6d34636e44d0cad33b04c594959d7062bdd9b383 Mon Sep 17 00:00:00 2001 From: Hillary Topazian <80535782+htopazian@users.noreply.github.com> Date: Mon, 1 Jul 2024 11:43:40 +0100 Subject: [PATCH 25/32] Update R/mixing.R MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Co-authored-by: Paul Liétar --- R/mixing.R | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/R/mixing.R b/R/mixing.R index f028c397..58e0b4fc 100644 --- a/R/mixing.R +++ b/R/mixing.R @@ -45,7 +45,7 @@ create_transmission_mixer <- function( diag(test_and_treat_coeff) <- 1 eir <- vapply( - seq(n_species), + seq_len(n_species), function(i) { mixed_eir <- t(species_eir[,i] * p_mix_import) rowSums(mixed_eir * test_and_treat_coeff) From 06c1e8dac805c47e30080539670a4bcdfb89b59c Mon Sep 17 00:00:00 2001 From: Giovanni Charles Date: Wed, 3 Jul 2024 15:07:22 +0100 Subject: [PATCH 26/32] Remove unnecessary gitignore i386 --- .gitignore | 1 - 1 file changed, 1 deletion(-) diff --git a/.gitignore b/.gitignore index a598d987..eb4ff0ee 100644 --- a/.gitignore +++ b/.gitignore @@ -12,4 +12,3 @@ doc inst/doc /doc/ /Meta/ -src-i386 From 91f8270cc33a3d45cdc65f126607c21e8eae31c5 Mon Sep 17 00:00:00 2001 From: Paul Lietar Date: Wed, 3 Jul 2024 15:27:29 +0100 Subject: [PATCH 27/32] Export the run_resumable_simulation Fixes #314 --- NAMESPACE | 1 + R/model.R | 1 + _pkgdown.yml | 1 + 3 files changed, 3 insertions(+) diff --git a/NAMESPACE b/NAMESPACE index 4ba1e15d..3a17e182 100644 --- a/NAMESPACE +++ b/NAMESPACE @@ -16,6 +16,7 @@ export(peak_season_offset) export(rtss_booster_profile) export(rtss_profile) export(run_metapop_simulation) +export(run_resumable_simulation) export(run_simulation) export(run_simulation_with_repetitions) export(set_antimalarial_resistance) diff --git a/R/model.R b/R/model.R index d59132f5..db1b9c80 100644 --- a/R/model.R +++ b/R/model.R @@ -101,6 +101,7 @@ run_simulation <- function( #' @param restore_random_state if TRUE, restore the random number generator's state from the checkpoint. #' @return a list with two entries, one for the dataframe of results and one for the final #' simulation state. +#' @export run_resumable_simulation <- function( timesteps, parameters = NULL, diff --git a/_pkgdown.yml b/_pkgdown.yml index 28a83e81..393e7f68 100644 --- a/_pkgdown.yml +++ b/_pkgdown.yml @@ -48,6 +48,7 @@ reference: - run_simulation - run_metapop_simulation - run_simulation_with_repetitions + - run_resumable_simulation - title: "Parameter functions" contents: - get_parameters From b4825c7a07890adb9647ae7015db1445ddced232 Mon Sep 17 00:00:00 2001 From: RJSheppard Date: Wed, 8 May 2024 14:51:27 +0100 Subject: [PATCH 28/32] Function for setting age-structured outputs for incidence, prevalence and immunity. Discrete age groups are set using a list, where vectors within the list result in contiguous age group rendering. Also correcting spelling of prevalence in create_prevalence_renderer function. This is a correction attempting to remove issues around line endings. --- NAMESPACE | 1 + R/output_parameters.R | 39 ++++++++++++++++++++++++++++ R/processes.R | 16 +++++++++--- R/render.R | 26 ++++++++++++++++++- man/set_epi_outputs.Rd | 42 +++++++++++++++++++++++++++++++ tests/testthat/test-output.R | 49 ++++++++++++++++++++++++++++++++++++ tests/testthat/test-render.R | 4 +-- 7 files changed, 171 insertions(+), 6 deletions(-) create mode 100644 R/output_parameters.R create mode 100644 man/set_epi_outputs.Rd create mode 100644 tests/testthat/test-output.R diff --git a/NAMESPACE b/NAMESPACE index 3a17e182..0479fc4f 100644 --- a/NAMESPACE +++ b/NAMESPACE @@ -25,6 +25,7 @@ export(set_carrying_capacity) export(set_clinical_treatment) export(set_demography) export(set_drugs) +export(set_epi_outputs) export(set_equilibrium) export(set_mass_pev) export(set_mda) diff --git a/R/output_parameters.R b/R/output_parameters.R new file mode 100644 index 00000000..7e752ecf --- /dev/null +++ b/R/output_parameters.R @@ -0,0 +1,39 @@ +#' @title Parameterise age grouped output rendering +#' +#' @details this function produces discrete and contiguous age groups, inclusive of the lower +#' age limit and exclusive of the upper age limit: e.g., list(c(0, 10, 100), c(200, 250) will produce +#' three age groups: 0-9, 10-99 and 200-249 in days. +#' @param parameters the model parameters +#' @param age_group age breaks for population size outputs; default = NULL +#' @param incidence age breaks for incidence outputs (D+Tr+A); default = NULL +#' @param clinical_incidence age breaks for clinical incidence outputs (symptomatic); default = c(0, 1825) +#' @param severe_incidence age breaks for severe incidence outputs; default = NULL +#' @param prevalence age breaks for clinical prevalence outputs (pcr and lm detectable infections); default = c(730, 3650) +#' @export +#' +set_epi_outputs <- function(parameters, + age_group = NULL, + incidence = NULL, + clinical_incidence = NULL, + severe_incidence = NULL, + prevalence = NULL, + ica = NULL, + icm = NULL, + iva = NULL, + ivm = NULL, + id = NULL, + ib = NULL +){ + + parent_formals <- names(formals()) + parent_formals <- parent_formals[which(parent_formals != "parameters")] + outputs <- parent_formals[!unlist(lapply(parent_formals, function(x){is.null(get(x))}))] + + for (output in outputs) { + if(!is.list(get(output))){stop("Each age input must be a list of vectors")} + parameters[[paste0(output, "_rendering_min_ages")]] <- unlist(lapply(get(output), function(x){x[-length(x)]})) + parameters[[paste0(output, "_rendering_max_ages")]] <- unlist(lapply(get(output), function(x){x[-1]-1})) + } + + parameters +} diff --git a/R/processes.R b/R/processes.R index 024f6299..04f26dca 100644 --- a/R/processes.R +++ b/R/processes.R @@ -183,6 +183,9 @@ create_processes <- function( # ========= # Rendering # ========= + + imm_var_names <- c('ica', 'icm', 'id', 'ib', 'iva', 'ivm') + processes <- c( processes, individual::categorical_count_renderer_process( @@ -192,10 +195,10 @@ create_processes <- function( ), create_variable_mean_renderer_process( renderer, - c('ica', 'icm', 'ib', 'id', 'iva', 'ivm'), - variables[c('ica', 'icm', 'ib', 'id', 'iva', 'ivm')] + imm_var_names, + variables[imm_var_names] ), - create_prevelance_renderer( + create_prevalence_renderer( variables$state, variables$birth, variables$id, @@ -207,6 +210,13 @@ create_processes <- function( parameters, renderer ), + create_age_variable_mean_renderer_process( + imm_var_names[paste0(imm_var_names,"_rendering_min_ages") %in% names(parameters)], + variables[imm_var_names[paste0(imm_var_names,"_rendering_min_ages") %in% names(parameters)]], + variables$birth, + parameters, + renderer + ), create_compartmental_rendering_process(renderer, solvers, parameters) ) diff --git a/R/render.R b/R/render.R index 4f5816f3..ac1e5656 100644 --- a/R/render.R +++ b/R/render.R @@ -17,7 +17,7 @@ in_age_range <- function(birth, timestep, lower, upper) { #' @param renderer model renderer #' #' @noRd -create_prevelance_renderer <- function( +create_prevalence_renderer <- function( state, birth, immunity, @@ -128,6 +128,30 @@ create_variable_mean_renderer_process <- function( } } +create_age_variable_mean_renderer_process <- function( + names, + variables, + birth, + parameters, + renderer +) { + function(timestep) { + for (i in seq_along(variables)) { + for (j in seq_along(parameters[[paste0(names[[i]],"_rendering_min_ages")]])) { + lower <- parameters[[paste0(names[[i]],"_rendering_min_ages")]][[j]] + upper <- parameters[[paste0(names[[i]],"_rendering_max_ages")]][[j]] + in_age <- in_age_range(birth, timestep, lower, upper) + renderer$render(paste0('n_', lower, '_', upper), in_age$size(), timestep) + renderer$render( + paste0(names[[i]], '_mean_', lower, '_', upper), + mean(variables[[i]]$get_values(index = in_age)), + timestep + ) + } + } + } +} + create_vector_count_renderer_individual <- function( mosquito_state, species, diff --git a/man/set_epi_outputs.Rd b/man/set_epi_outputs.Rd new file mode 100644 index 00000000..7e2b07ef --- /dev/null +++ b/man/set_epi_outputs.Rd @@ -0,0 +1,42 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/output_parameters.R +\name{set_epi_outputs} +\alias{set_epi_outputs} +\title{Parameterise age grouped output rendering} +\usage{ +set_epi_outputs( + parameters, + age_group = NULL, + incidence = NULL, + clinical_incidence = NULL, + severe_incidence = NULL, + prevalence = NULL, + ica = NULL, + icm = NULL, + iva = NULL, + ivm = NULL, + id = NULL, + ib = NULL +) +} +\arguments{ +\item{parameters}{the model parameters} + +\item{age_group}{age breaks for population size outputs; default = NULL} + +\item{incidence}{age breaks for incidence outputs (D+Tr+A); default = NULL} + +\item{clinical_incidence}{age breaks for clinical incidence outputs (symptomatic); default = c(0, 1825)} + +\item{severe_incidence}{age breaks for severe incidence outputs; default = NULL} + +\item{prevalence}{age breaks for clinical prevalence outputs (pcr and lm detectable infections); default = c(730, 3650)} +} +\description{ +Parameterise age grouped output rendering +} +\details{ +this function produces discrete and contiguous age groups, inclusive of the lower +age limit and exclusive of the upper age limit: e.g., list(c(0, 10, 100), c(200, 250) will produce +three age groups: 0-9, 10-99 and 200-249 in days. +} diff --git a/tests/testthat/test-output.R b/tests/testthat/test-output.R new file mode 100644 index 00000000..ee221d76 --- /dev/null +++ b/tests/testthat/test-output.R @@ -0,0 +1,49 @@ +test_that('Test age parameter function works', { + parameters <- get_parameters() + age_limits <- c(0,1,2,3)*365 + parameters <- set_epi_outputs(parameters, + age_group = list(age_limits), + incidence = list(age_limits+1), + clinical_incidence = list(age_limits+2), + severe_incidence = list(age_limits+3), + prevalence = list(age_limits+4), + ica = list(age_limits+5), + icm = list(age_limits+6), + id = list(age_limits+7), + ib = list(age_limits+8), + iva = list(age_limits+9), + ivm = list(age_limits+10) + ) + + sim <- run_simulation(timesteps = 1, parameters) + + expect_true( + all( + paste0(rep(c("n_age", + "n", "n_inc", "p_inc", + "n","n_inc_clinical","p_inc_clinical", + "n","n_inc_severe","p_inc_severe", + "n","n_detect","p_detect", + "ica_mean", "icm_mean","id_mean","ib_mean","iva_mean","ivm_mean"), each = 3),"_", + age_limits[-4]+rep(c(0,rep(c(1:4), each = 3),5:10), each = 3),"_",age_limits[-1]-1+rep(c(0,rep(c(1:4), each = 3),5:10), each = 3) + ) %in% + names(sim))) + +}) + +test_that('Test age parameter multiple sequences function works', { + parameters <- get_parameters() + age_limits <- c(0,1,2,3)*365 + parameters <- set_epi_outputs(parameters, + age_group = list(age_limits, age_limits+100)) + + sim <- run_simulation(timesteps = 1, parameters) + + expect_true( + all( + paste0(rep(c("n_age"), each = 3),"_", + c(age_limits[-4], age_limits[-4]+100), "_", c(age_limits[-1], age_limits[-1]+100)-1 + ) %in% + names(sim))) + +}) diff --git a/tests/testthat/test-render.R b/tests/testthat/test-render.R index cc4e9f87..f42c15b4 100644 --- a/tests/testthat/test-render.R +++ b/tests/testthat/test-render.R @@ -11,7 +11,7 @@ test_that('that default rendering works', { immunity <- individual::DoubleVariable$new(rep(1, 4)) renderer <- mock_render(1) - process <- create_prevelance_renderer( + process <- create_prevalence_renderer( state, birth, immunity, @@ -70,7 +70,7 @@ test_that('that default rendering works when no one is in the age range', { immunity <- individual::DoubleVariable$new(rep(1, 4)) renderer <- mock_render(1) - process <- create_prevelance_renderer( + process <- create_prevalence_renderer( state, birth, immunity, From 4701748af58857e8451bd4b9eeb62af47ca1fad6 Mon Sep 17 00:00:00 2001 From: RJSheppard Date: Thu, 9 May 2024 10:34:26 +0100 Subject: [PATCH 29/32] Added immunity parameter info to documentation of epi outputs function. --- R/output_parameters.R | 6 ++++++ man/set_epi_outputs.Rd | 12 ++++++++++++ 2 files changed, 18 insertions(+) diff --git a/R/output_parameters.R b/R/output_parameters.R index 7e752ecf..4a1087ec 100644 --- a/R/output_parameters.R +++ b/R/output_parameters.R @@ -9,6 +9,12 @@ #' @param clinical_incidence age breaks for clinical incidence outputs (symptomatic); default = c(0, 1825) #' @param severe_incidence age breaks for severe incidence outputs; default = NULL #' @param prevalence age breaks for clinical prevalence outputs (pcr and lm detectable infections); default = c(730, 3650) +#' @param ica age breaks for average acquired clinical immunity; default = NULL +#' @param icm age breaks for average maternal clinical immunity; default = NULL +#' @param iva age breaks for average acquired severe immunity; default = NULL +#' @param ivm age breaks for average maternal severe immunity; default = NULL +#' @param id age breaks for average immunity to detectability; default = NULL +#' @param ib age breaks for average blood immunity; default = NULL #' @export #' set_epi_outputs <- function(parameters, diff --git a/man/set_epi_outputs.Rd b/man/set_epi_outputs.Rd index 7e2b07ef..0e9dc1e4 100644 --- a/man/set_epi_outputs.Rd +++ b/man/set_epi_outputs.Rd @@ -31,6 +31,18 @@ set_epi_outputs( \item{severe_incidence}{age breaks for severe incidence outputs; default = NULL} \item{prevalence}{age breaks for clinical prevalence outputs (pcr and lm detectable infections); default = c(730, 3650)} + +\item{ica}{age breaks for average acquired clinical immunity; default = NULL} + +\item{icm}{age breaks for average maternal clinical immunity; default = NULL} + +\item{iva}{age breaks for average acquired severe immunity; default = NULL} + +\item{ivm}{age breaks for average maternal severe immunity; default = NULL} + +\item{id}{age breaks for average immunity to detectability; default = NULL} + +\item{ib}{age breaks for average blood immunity; default = NULL} } \description{ Parameterise age grouped output rendering From e004d5b150e9b12c709d96bf37462361b5343deb Mon Sep 17 00:00:00 2001 From: RJSheppard Date: Thu, 23 May 2024 12:51:40 +0100 Subject: [PATCH 30/32] Changed age limits back to continuous groups (no discrete age groups will be rendered now). Made the code more easier to read. --- R/output_parameters.R | 38 ++++++++++++++++++++++++----------- tests/testthat/test-output.R | 39 ++++++++++-------------------------- 2 files changed, 37 insertions(+), 40 deletions(-) diff --git a/R/output_parameters.R b/R/output_parameters.R index 4a1087ec..d1890229 100644 --- a/R/output_parameters.R +++ b/R/output_parameters.R @@ -1,8 +1,8 @@ #' @title Parameterise age grouped output rendering #' -#' @details this function produces discrete and contiguous age groups, inclusive of the lower -#' age limit and exclusive of the upper age limit: e.g., list(c(0, 10, 100), c(200, 250) will produce -#' three age groups: 0-9, 10-99 and 200-249 in days. +#' @details this function produces contiguous age groups, inclusive of the lower +#' age limit and exclusive of the upper age limit: e.g., c(0, 10, 100) will produce +#' two age groups: 0-9 and 10-99 in days. #' @param parameters the model parameters #' @param age_group age breaks for population size outputs; default = NULL #' @param incidence age breaks for incidence outputs (D+Tr+A); default = NULL @@ -31,15 +31,29 @@ set_epi_outputs <- function(parameters, ib = NULL ){ - parent_formals <- names(formals()) - parent_formals <- parent_formals[which(parent_formals != "parameters")] - outputs <- parent_formals[!unlist(lapply(parent_formals, function(x){is.null(get(x))}))] + input <- list( + age_group = age_group, + incidence = incidence, + clinical_incidence = clinical_incidence, + severe_incidence = severe_incidence, + prevalence = prevalence, + ica = ica, + icm = icm, + iva = iva, + ivm = ivm, + id = id, + ib = ib + ) + input <- input[!sapply(input, is.null)] - for (output in outputs) { - if(!is.list(get(output))){stop("Each age input must be a list of vectors")} - parameters[[paste0(output, "_rendering_min_ages")]] <- unlist(lapply(get(output), function(x){x[-length(x)]})) - parameters[[paste0(output, "_rendering_max_ages")]] <- unlist(lapply(get(output), function(x){x[-1]-1})) + for(i in seq_along(input)){ + name <- names(input)[i] + ages <- input[[i]] + min_ages <- ages[-length(ages)] + max_ages <- ages[-1] - 1 + parameters[[paste0(name, "_rendering_min_ages")]] <- min_ages + parameters[[paste0(name, "_rendering_max_ages")]] <- max_ages } - - parameters + + return(parameters) } diff --git a/tests/testthat/test-output.R b/tests/testthat/test-output.R index ee221d76..956cbd51 100644 --- a/tests/testthat/test-output.R +++ b/tests/testthat/test-output.R @@ -2,17 +2,17 @@ test_that('Test age parameter function works', { parameters <- get_parameters() age_limits <- c(0,1,2,3)*365 parameters <- set_epi_outputs(parameters, - age_group = list(age_limits), - incidence = list(age_limits+1), - clinical_incidence = list(age_limits+2), - severe_incidence = list(age_limits+3), - prevalence = list(age_limits+4), - ica = list(age_limits+5), - icm = list(age_limits+6), - id = list(age_limits+7), - ib = list(age_limits+8), - iva = list(age_limits+9), - ivm = list(age_limits+10) + age_group = age_limits, + incidence = age_limits+1, + clinical_incidence = age_limits+2, + severe_incidence = age_limits+3, + prevalence = age_limits+4, + ica = age_limits+5, + icm = age_limits+6, + id = age_limits+7, + ib = age_limits+8, + iva = age_limits+9, + ivm = age_limits+10 ) sim <- run_simulation(timesteps = 1, parameters) @@ -30,20 +30,3 @@ test_that('Test age parameter function works', { names(sim))) }) - -test_that('Test age parameter multiple sequences function works', { - parameters <- get_parameters() - age_limits <- c(0,1,2,3)*365 - parameters <- set_epi_outputs(parameters, - age_group = list(age_limits, age_limits+100)) - - sim <- run_simulation(timesteps = 1, parameters) - - expect_true( - all( - paste0(rep(c("n_age"), each = 3),"_", - c(age_limits[-4], age_limits[-4]+100), "_", c(age_limits[-1], age_limits[-1]+100)-1 - ) %in% - names(sim))) - -}) From 65e5899cb7bc94c2526f3185c8571ffbd6ba15df Mon Sep 17 00:00:00 2001 From: RJSheppard Date: Thu, 23 May 2024 13:17:39 +0100 Subject: [PATCH 31/32] Rebased with latest dev branch, merging with detect pcr/lm outputs. --- man/set_epi_outputs.Rd | 6 +++--- tests/testthat/test-output.R | 5 +++-- 2 files changed, 6 insertions(+), 5 deletions(-) diff --git a/man/set_epi_outputs.Rd b/man/set_epi_outputs.Rd index 0e9dc1e4..004ed280 100644 --- a/man/set_epi_outputs.Rd +++ b/man/set_epi_outputs.Rd @@ -48,7 +48,7 @@ set_epi_outputs( Parameterise age grouped output rendering } \details{ -this function produces discrete and contiguous age groups, inclusive of the lower -age limit and exclusive of the upper age limit: e.g., list(c(0, 10, 100), c(200, 250) will produce -three age groups: 0-9, 10-99 and 200-249 in days. +this function produces contiguous age groups, inclusive of the lower +age limit and exclusive of the upper age limit: e.g., c(0, 10, 100) will produce +two age groups: 0-9 and 10-99 in days. } diff --git a/tests/testthat/test-output.R b/tests/testthat/test-output.R index 956cbd51..34486679 100644 --- a/tests/testthat/test-output.R +++ b/tests/testthat/test-output.R @@ -23,10 +23,11 @@ test_that('Test age parameter function works', { "n", "n_inc", "p_inc", "n","n_inc_clinical","p_inc_clinical", "n","n_inc_severe","p_inc_severe", - "n","n_detect","p_detect", + "n","n_detect_lm","p_detect_lm","n_detect_pcr", "ica_mean", "icm_mean","id_mean","ib_mean","iva_mean","ivm_mean"), each = 3),"_", - age_limits[-4]+rep(c(0,rep(c(1:4), each = 3),5:10), each = 3),"_",age_limits[-1]-1+rep(c(0,rep(c(1:4), each = 3),5:10), each = 3) + age_limits[-4]+rep(c(0,rep(c(1:3), each = 3), rep(4, 4), 5:10), each = 3),"_",age_limits[-1]-1+rep(c(0,rep(c(1:3), each = 3), rep(4, 4), 5:10), each = 3) ) %in% names(sim))) }) + From 0ff9f95d3cd74d52c2662af6fead694b24b652cd Mon Sep 17 00:00:00 2001 From: RJSheppard Date: Wed, 8 May 2024 14:51:27 +0100 Subject: [PATCH 32/32] Function for setting age-structured outputs for incidence, prevalence and immunity. Discrete age groups are set using a list, where vectors within the list result in contiguous age group rendering. Also correcting spelling of prevalence in create_prevalence_renderer function. --- tests/testthat/test-biology.R | 2 +- tests/testthat/test-output.R | 2 -- 2 files changed, 1 insertion(+), 3 deletions(-) diff --git a/tests/testthat/test-biology.R b/tests/testthat/test-biology.R index e429a48f..78c98d58 100644 --- a/tests/testthat/test-biology.R +++ b/tests/testthat/test-biology.R @@ -86,7 +86,7 @@ test_that('FOIM is consistent with equilibrium', { psi <- unique_biting_rate(age, parameters) zeta <- variables$zeta$get_values() .pi <- human_pi(psi, zeta) - calculate_foim(a, sum(.pi * variables$infectivity$get_values()), 1.) + calculate_foim(a, sum(.pi * variables$infectivity$get_values())) } ) expect_equal( diff --git a/tests/testthat/test-output.R b/tests/testthat/test-output.R index 34486679..91d427e4 100644 --- a/tests/testthat/test-output.R +++ b/tests/testthat/test-output.R @@ -28,6 +28,4 @@ test_that('Test age parameter function works', { age_limits[-4]+rep(c(0,rep(c(1:3), each = 3), rep(4, 4), 5:10), each = 3),"_",age_limits[-1]-1+rep(c(0,rep(c(1:3), each = 3), rep(4, 4), 5:10), each = 3) ) %in% names(sim))) - }) -

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