DESCRIPTION

Package: mvgam
Title: Multivariate (Dynamic) Generalized Additive Models
Version: 1.1.4
Date: 2024-09-05
Authors@R: person("Nicholas J", "Clark", , "nicholas.j.clark1214@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0001-7131-3301"))
Description: Fit Bayesian Dynamic Generalized Additive Models to multivariate observations. Users can build nonlinear State-Space models that can incorporate semiparametric effects in observation and process components, using a wide range of observation families. Estimation is performed using Markov Chain Monte Carlo with Hamiltonian Monte Carlo in the software 'Stan'. References: Clark & Wells (2022) <doi:10.1111/2041-210X.13974>.
URL: https://github.com/nicholasjclark/mvgam, https://nicholasjclark.github.io/mvgam/
BugReports: https://github.com/nicholasjclark/mvgam/issues
License: MIT + file LICENSE
Depends: 
    R (>= 3.6.0)
Imports: 
    brms (>= 2.21.0),
    methods,
    mgcv (>= 1.8-13),
    insight (>= 0.19.1),
    marginaleffects (>= 0.16.0),
    Rcpp (>= 0.12.0),
    rstan (>= 2.29.0),
    posterior (>= 1.0.0),
    loo (>= 2.3.1),
    rstantools (>= 2.1.1),
    bayesplot (>= 1.5.0),
    ggplot2 (>= 2.0.0),
    mvnfast,
    purrr,
    dplyr,
    magrittr,
    rlang
Encoding: UTF-8
LazyData: true
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.2
Suggests: 
    scoringRules,
    matrixStats,
    cmdstanr (>= 0.5.0),
    tweedie,
    splines2,
    extraDistr,
    corpcor,
    wrswoR,
    xts,
    lubridate,
    knitr, 
    collapse,
    rmarkdown, 
    rjags,
    coda,
    runjags,
    usethis,
    testthat
Enhances:
    gratia (>= 0.9.0), 
    tibble (>= 3.0.0),
    tidyr 
Additional_repositories: https://mc-stan.org/r-packages/
LinkingTo: Rcpp, RcppArmadillo
VignetteBuilder: knitr