From 5099906e4ed9f66190f6305e1105147b4522acef Mon Sep 17 00:00:00 2001 From: Matthew Fidler Date: Sun, 15 Sep 2024 11:08:13 -0500 Subject: [PATCH 01/17] Change convert nlmixr2 --- vignettes/articles/convert-nlmixr2.Rmd | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/vignettes/articles/convert-nlmixr2.Rmd b/vignettes/articles/convert-nlmixr2.Rmd index 4fa1f13..b977fde 100644 --- a/vignettes/articles/convert-nlmixr2.Rmd +++ b/vignettes/articles/convert-nlmixr2.Rmd @@ -20,8 +20,7 @@ efficiently to the nlmixr2 residual syntax. ## Example ```{r asNonmem2Rx} -library(monolix2rx) -library(babelmixr2) +library(babelmixr2) # will re-export much of monolix2rx # You use the path to the monolix mlxtran file From cbd6b37f528868b17b651e3beae3f8bab44f3d4e Mon Sep 17 00:00:00 2001 From: Matthew Fidler Date: Sun, 15 Sep 2024 11:17:37 -0500 Subject: [PATCH 02/17] Add augPred vignette --- vignettes/articles/create-augPred.Rmd | 59 +++++++++++++++++++++++++++ 1 file changed, 59 insertions(+) create mode 100644 vignettes/articles/create-augPred.Rmd diff --git a/vignettes/articles/create-augPred.Rmd b/vignettes/articles/create-augPred.Rmd new file mode 100644 index 0000000..6be7528 --- /dev/null +++ b/vignettes/articles/create-augPred.Rmd @@ -0,0 +1,59 @@ +--- +title: "Created Augmented pred/ipred plots with `augPred()`" +--- + +```{r, include = FALSE} +knitr::opts_chunk$set( + collapse = TRUE, + comment = "#>" +) +``` + +This is a simple process to create individual predictions augmented +with more observations than was modeled. This allows smoother plots +and a better examination of the observed concentrations for an +individual and population. + +# Step 1: Convert the `Monolix` model to `rxode2`: + +```{r setup} + +library(monolix2rx) + +# First we need the location of the nonmem control stream Since we are +# running an example, we will use one of the built-in examples in +# `monolix2rx` +pkgTheo <- system.file("theo/theophylline_project.mlxtran", package="monolix2rx") +# You can use a control stream or other file. With the development +# version of `babelmixr2`, you can simply point to the listing file + +mod <- monolix2rx(pkgTheo) + +``` + + +# Step 2: convert the `rxode2` model to `nlmixr2` + +In this step, you convert the model to `nlmixr2` by `as.nlmixr2(mod)`; +You may need to do a [little manual work to get the residual +specification to match between nlmixr2 and NONMEM](convert-nlmixr2.html). + +Once the residual specification is compatible with a nlmixr2 object, you can convert the model, `mod`, to a nlmixr2 fit object: + +```{r toNlmixr2} +library(babelmixr2) # provides as.nlmixr2 +fit <- as.nlmixr2(mod) + +fit +``` + +# Step 3: Create and plot an augmented prediction + +```{r augPred} +ap <- augPred(fit) + +head(ap) + +# This augpred looks odd: +plot(ap) +``` From de30998bc27b1ba9441e2120d30dea1756631c85 Mon Sep 17 00:00:00 2001 From: Matthew Fidler Date: Sun, 15 Sep 2024 11:23:01 -0500 Subject: [PATCH 03/17] Add create-office --- vignettes/articles/create-office.Rmd | 91 +++++++++++++++++++++++++ vignettes/articles/mod-PowerPoint.pptx | Bin 0 -> 853271 bytes vignettes/articles/mod-Word.docx | Bin 0 -> 589528 bytes 3 files changed, 91 insertions(+) create mode 100644 vignettes/articles/create-office.Rmd create mode 100644 vignettes/articles/mod-PowerPoint.pptx create mode 100644 vignettes/articles/mod-Word.docx diff --git a/vignettes/articles/create-office.Rmd b/vignettes/articles/create-office.Rmd new file mode 100644 index 0000000..f481395 --- /dev/null +++ b/vignettes/articles/create-office.Rmd @@ -0,0 +1,91 @@ +--- +title: "Create PowerPoint and Word documents using monolix2rx" +resource_files: + - mod-PowerPoint.pptx + - mod-Word.docx +--- + +```{r, include = FALSE} +knitr::opts_chunk$set( + collapse = TRUE, + comment = "#>" +) +``` + +# Step 1: import the model into `monolix2rx` + +```{r setup} + +library(monolix2rx) +library(babelmixr2) +library(nlmixr2rpt) +library(onbrand) + +library(nonmem2rx) + +# First we need the location of the nonmem control stream Since we are running an example, we will use one of the built-in examples in `nonmem2rx` +pkgTheo <- system.file("theo/theophylline_project.mlxtran", package="monolix2rx") +# You can use a control stream or other file. With the development +# version of `babelmixr2`, you can simply point to the listing file + +mod <- monolix2rx(pkgTheo) + +``` + + + +# Step 2: convert the `rxode2` model to `nlmixr2` + +In this step, you convert the model to `nlmixr2` by `as.nlmixr2(mod)`; +You may need to do a [little manual work to get the residual +specification to match between nlmixr2 and NONMEM](convert-nlmixr2.html). + +Once the residual specification is compatible with a nlmixr2 object, you can convert the model, `mod`, to +a nlmixr2 fit object: + +```{r toNlmixr2} +fit <- as.nlmixr2(mod) + +fit +``` + +# Step 3: Create a PowerPoint file + +A PowerPoint can be created from your own [custom powerpoint +templates](https://nlmixr2.github.io/nlmixr2rpt/articles/Reporting_nlmixr_Fit_Results.html#customizing-reports-for-your-organization), +but in this example we will use the ones that come from `nlmixr2rpt` +directly: + +```{r toPptx} +obnd_pptx = read_template( + template = system.file(package="nlmixr2rpt", "templates","nlmixr_obnd_template.pptx"), + mapping = system.file(package="nlmixr2rpt", "templates","nlmixr_obnd_template.yaml")) + +obnd_pptx = report_fit( + fit = fit, + obnd = obnd_pptx) + +save_report(obnd_pptx, "mod-PowerPoint.pptx") +``` + +Which gives the powerpoint [here](mod-PowerPoint.pptx) + + +# Step 4: Create a Word file + +Just like in PowerPoint, you can customizeown [custom word templates](https://nlmixr2.github.io/nlmixr2rpt/articles/Reporting_nlmixr_Fit_Results.html#customizing-reports-for-your-organization), but in this example we will use the ones that come from `nlmixr2rpt` directly: + + +```{r} +obnd_docx = read_template( + template = system.file(package="nlmixr2rpt", "templates","nlmixr_obnd_template.docx"), + mapping = system.file(package="nlmixr2rpt", "templates","nlmixr_obnd_template.yaml")) + +obnd_docx = report_fit( + fit = fit, + obnd = obnd_docx) + +save_report(obnd_docx, "mod-Word.docx") +``` + +Which gives the word document [here](mod-Word.docx) diff --git a/vignettes/articles/mod-PowerPoint.pptx b/vignettes/articles/mod-PowerPoint.pptx new file mode 100644 index 0000000000000000000000000000000000000000..b11416722f510547a7b7428a569099aa699a4849 GIT binary patch literal 853271 zcmaI6V{|1^+bx5_&$agiFnhjz=S%hcP@q=vFeuJ=l{;j1-j*L)fRaQ0 zQwFWED75n%%2|wqYk(~I7Bh6r^L;;HURhfHx%n3mOi307w$s_g75ER6GjOnf`~N@G zF#f%vBkEx9YG&_hpyuUh=Ay^oX=gi~Ic~qn^dI!#gH}a~GT7u1Ho0B7-QeaP0XS9^ z&6wDUkI&D96OFVmscFN}Zp;I?Um)KW38J}_i&pAlN}S2GoMa;w60|WjGhHmz`;TWE zUvaXF%qh)E3b}D;y3V}bUt9KUYp}x$3gcVcz$BII8DXYuY9w^lPL^P9-K=2i^e;20 zxp_lJX;n%>DQw;wVe^#P#AflcB1RiT2jMSEYNRxvhz>TEie9qJiX|(j=uD{ z4)y;eu73}~OdU*=oE;op7>yhq|D&u@HCcyECd9rI4cNYRnKm+N@KNy$vP~l`h$*Yt z8nMwq)A7Wmn)Uj8qQ-1CKd?B3!_f!92ObC&C72d>B%LW|1<3}xo zHXpkV`fzS}k-)mmpYYH#8Ks)A<}J%<hh&4zpZl+D;PzMgU=#WDS@Oz9`=;@(gK-8RK?`MIzkRfB{l%lvc zh1fS-shqbgOiZbmuPmZSD>M;FI^oRIo5Hwk+eB`=NKBBgNi6F<7?$X8`8sqg*iqAA z_k)5a45d=r$}i)(v}RMYq>~nyZY6Jm4|5(TW#2e}{;QmCSLfq&csVO>?hJ)L!H=*M zOGPTS&qO7WzwILd<&1&?in{i+yZP6(KRebO!p2?;&=&CPfUWmwoKFLYC7w)w^{@pc z63k`$Y%~y_^G@hZ=GK7YK4*T9kHs0s2uckSqQxwW@(9-1sre$n#_F~u&bV= zF!NjR_W^-ExRWV40SR8!Att(Tvtt!dFsSqGj@6*G#U3vW`nygse$!Hr?gzl}s)m;qLF)F@Wkq>26_>G^ut!^qHx=R$K9tS?g>PZ#fHQ4#3BD7_M1Leez zRq4JbuItf98Xm8y`%Ae05Zcjd$(IZO1H*;*uY`huk^ZCbe;4+@<^O6Mu9j|g#`Z>5 zwhY#eW)`(SVU$$Y@%rH4CbkX8WU zD)`VM5^?b`rIJY0Xt5~N=nB_$)RM!Xi>?RrogR*l?T2aLO(*DW1~~I+alPMj6bmMD z{9O|R3=%x>Asc%D7pl$#{I(9v&Cw}LwpUq5zhu}bzTSin>sviLxFxFfnPfV3A}7m#5dab3-+0$q6P7yn@MmB!G7?jhcRFR^N^6R`B^_@1fH1KMhH`S#4aYxMINIFH z6*hUfyF0o%5BNVB^q%|CQE|RG9eihIq2UQn_2s2xr{@pJ$uLmTbiMfs`5Tc?RYknI zw6e^}p`5Lwy{X^&vhe;61HFqpFZs*l03(ICT)JRK@g*bU>xx1g3u5#us_76S-7*KqhM=J-tocNAqacqgRp@Z^)=q0t>KEQ zO-v{o9u+p!q8aY);SK>fyNBqIUWyul4C`oz)xng(WC&YRe>BVoyS?~yX|C~LC+cfA zrSEZkfuar6%+?@>Y_ZX79@@l{yL~=cz|X3E0Tl#V z8|`ZnH6qkj)mDfrBb^w;8p-^dHYKJXONwUfuuveTYeZz1JSmnW;95gOI$t?;fcPkk zAB3vWM`6Ry=ChC`d<+(!6aqo+)E|}n{q}@9f!;iEJppJH|BLb>gZcLnl#TtRX+86~ z?^uem3GjUUT!^pbrs5^8FqcriiP_Rvx9ccLlBb?R`APxNKpnTrXqmeTQ4j_dl!^y# z%K8|fmG^8=hsNjm$CY7AWcovHv`*vqvUU&=IjwTj3)PPl$Ay&ESbP8s+C&UaX^&Ee zppmCrZTDa=-+Sen$REx55Hw^G;IA(p=&qz+t0j^$u8aJ2%8?3-D)YV8EX$#;eb)%Y zv*WSd71AE~qFZv)NM_a&&&OTA)WlgYOh%)MZe_re1ar)t#0$i4OVxRSZ1eVlFt=Q9 ziMMu8XzyC~0o@*AH7G>=&5-r=UQW>vx4wFI2}TBdt@=1c@x(QX)Q<%Fl{dNRdA_34 z_-HGw2$C!3r{Kw^>=tP?K>D5FFX!`1Dg+}W7MaH1;l&+;v*(n^kNjGV=Y9sad3igC zIr6D{v2~rHOGaxO5xuvPG^3hG>-}vxnDUWvY--$Rvoj8cZ$9>s_-ZHYu)T0@DDsK! 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Since we are # running an example, we will use one of the built-in examples in # `monolix2rx` pkgTheo <- system.file("theo/theophylline_project.mlxtran", package="monolix2rx") @@ -34,11 +34,7 @@ mod <- monolix2rx(pkgTheo) # Step 2: convert the `rxode2` model to `nlmixr2` -In this step, you convert the model to `nlmixr2` by `as.nlmixr2(mod)`; -You may need to do a [little manual work to get the residual -specification to match between nlmixr2 and NONMEM](convert-nlmixr2.html). - -Once the residual specification is compatible with a nlmixr2 object, you can convert the model, `mod`, to a nlmixr2 fit object: +You can convert the model, `mod`, to a nlmixr2 fit object: ```{r toNlmixr2} library(babelmixr2) # provides as.nlmixr2 diff --git a/vignettes/articles/create-office.Rmd b/vignettes/articles/create-office.Rmd index f481395..0051f9c 100644 --- a/vignettes/articles/create-office.Rmd +++ b/vignettes/articles/create-office.Rmd @@ -23,7 +23,9 @@ library(onbrand) library(nonmem2rx) -# First we need the location of the nonmem control stream Since we are running an example, we will use one of the built-in examples in `nonmem2rx` +# First we need the location of the monolix mlxtran file. Since we are +# running an example, we will use one of the built-in examples in +# `monolix2rx` pkgTheo <- system.file("theo/theophylline_project.mlxtran", package="monolix2rx") # You can use a control stream or other file. With the development # version of `babelmixr2`, you can simply point to the listing file @@ -36,12 +38,7 @@ mod <- monolix2rx(pkgTheo) # Step 2: convert the `rxode2` model to `nlmixr2` -In this step, you convert the model to `nlmixr2` by `as.nlmixr2(mod)`; -You may need to do a [little manual work to get the residual -specification to match between nlmixr2 and NONMEM](convert-nlmixr2.html). - -Once the residual specification is compatible with a nlmixr2 object, you can convert the model, `mod`, to -a nlmixr2 fit object: +You can convert the model, `mod`, to a nlmixr2 fit object: ```{r toNlmixr2} fit <- as.nlmixr2(mod) diff --git a/vignettes/articles/create-vpc.Rmd b/vignettes/articles/create-vpc.Rmd new file mode 100644 index 0000000..e727372 --- /dev/null +++ b/vignettes/articles/create-vpc.Rmd @@ -0,0 +1,71 @@ +--- +title: "Easily Create a VPC using monolix2rx" +--- + +```{r, include = FALSE} +knitr::opts_chunk$set( + collapse = TRUE, + comment = "#>" +) +``` +This shows an easy work-flow to create a VPC using a Monolix model: + +# Step 1: Convert the `Monolix` model to `rxode2`: + +```{r setup} +library(babelmixr2) +library(monolix2rx) + +# First we need the location of the monolix mlxtran file. Since we are +# running an example, we will use one of the built-in examples in +# `monolix2rx` +pkgTheo <- system.file("theo/theophylline_project.mlxtran", package="monolix2rx") +# You can use a control stream or other file. With the development +# version of `babelmixr2`, you can simply point to the listing file + +mod <- monolix2rx(pkgTheo) + +``` + + +# Step 2: convert the `rxode2` model to `nlmixr2` + +You can convert the model, `mod`, to a nlmixr2 fit object: + +```{r toNlmixr2} +fit <- as.nlmixr2(mod) + +fit +``` + +# Step 3: Perform the VPC + +From here we simply use `vpcPlot()` in conjunction with the `vpc` +package to get the regular and prediction-corrected VPCs and arrange +them on a single plot: + +```{r vpc} + +library(ggplot2) +p1 <- vpcPlot(fit, show=list(obs_dv=TRUE)) + +p1 <- p1 + ylab("Concentrations") + + rxode2::rxTheme() + + xlab("Time (hr)") + + xgxr::xgx_scale_x_time_units("hour", "hour") + +p1a <- p1 + xgxr::xgx_scale_y_log10() + +## A prediction-corrected VPC +p2 <- vpcPlot(fit, pred_corr = TRUE, show=list(obs_dv=TRUE)) +p2 <- p2 + ylab("Prediction-Corrected Concentrations") + + rxode2::rxTheme() + + xlab("Time (hr)") + + xgxr::xgx_scale_x_time_units("hour", "hour") + +p2a <- p2 + xgxr::xgx_scale_y_log10() + + +library(patchwork) +(p1 * p1a) / (p2 * p2a) +``` From d84379369210e1be888b72d8fb098ac2ab345d41 Mon Sep 17 00:00:00 2001 From: Matthew Fidler Date: Tue, 17 Sep 2024 08:45:32 -0500 Subject: [PATCH 05/17] JIT ignore "^rxCov_" --- R/indDef.R | 22 +++++++++++++--------- 1 file changed, 13 insertions(+), 9 deletions(-) diff --git a/R/indDef.R b/R/indDef.R index 61bf042..82c3487 100644 --- a/R/indDef.R +++ b/R/indDef.R @@ -156,13 +156,7 @@ return(.c) }) .ret$cov <- .monolix2rx$cov - .ret$coef <- lapply(seq_along(.coef), - function(i) { - .cur <- .coef[[i]] - .w <- which(grepl("^rxCov_", .cur)) - if (length(.w) >= 1) .cur <- .cur[-.w] - .cur - }) + .ret$coef <- .coef .rx <- paste0(.rx, " + ", paste(vapply(seq_along(.ret$coef), function(i) { @@ -184,10 +178,20 @@ .coef[.w]) .coef <- .coef[-.w] .ref <- .ref[-.w] + .w <- which(grepl("^rxCov_", .coef)) + if (length(.w) > 0) { + .coef <- .coef[-.w] + .ref <- .ref[-.w] + } return(paste(paste0(.coef, " * (", .cov, " == '", .ref, "')"), collapse=" + ")) } - } - paste(paste0(.ret$coef[[i]], "*", .ret$cov[i]), collapse=" + ") + } + .coef <- .ret$coef[[i]] + .w <- which(grepl("^rxCov_", .coef)) + if (length(.w) > 0) { + .coef <- .coef[-.w] + } + paste(paste0(.coef, "*", .ret$cov[i]), collapse=" + ") }, character(1), USE.NAMES=FALSE), collapse=" + ")) } From 29a534556eb54a4c0aa61a46185e886c4f07759f Mon Sep 17 00:00:00 2001 From: Matthew Fidler Date: Tue, 17 Sep 2024 11:33:42 -0500 Subject: [PATCH 06/17] Add validation article --- R/validate.R | 13 +++ vignettes/articles/rxode2-validate.Rmd | 140 +++++++++++++++++++++++++ 2 files changed, 153 insertions(+) create mode 100644 vignettes/articles/rxode2-validate.Rmd diff --git a/R/validate.R b/R/validate.R index b9e3e03..6fd7a17 100644 --- a/R/validate.R +++ b/R/validate.R @@ -180,9 +180,22 @@ .qai <- stats::quantile(with(.both, abs(ipred-monolixIpred)), .q, na.rm=TRUE) .qp <- stats::quantile(with(.both, 100*abs((pred-monolixPred)/monolixIpred)), .q, na.rm=TRUE) .qap <- stats::quantile(with(.both, abs(pred-monolixPred)), .q, na.rm=TRUE) + .qw <- stats::quantile(with(.both, 100*abs((iwres-monolixIwres)/monolixIwres)), .q, na.rm=TRUE) .qaw <- stats::quantile(with(.both, abs(iwres-monolixIwres)), .q, na.rm=TRUE) + .ui$ipredAtol <- .qai[3] + .ui$ipredRtol <- .qi[3]/100 + .ui$ipredCompare <- .both[,grepl("(id|time|monolixIpred|ipred|cmt)", names(.both), ignore.case=TRUE)] + + .ui$predAtol <- .qap[3] + .ui$predRtol <- .qp[3]/100 + .ui$predCompare <- .both[,grepl("^(id|time|monolixPred|pred|cmt)$", names(.both), ignore.case=TRUE)] + + .ui$iwresAtol <- .qaw[3] + .ui$iwresRtol <- .qw[3]/100 + .ui$iwresCompare <- .both[,grepl("(id|time|monolixIwres|iwres|cmt)", names(.both), ignore.case=TRUE)] + .msg <- c(paste0("ipred relative difference compared to Monolix ipred: ", round(.qi[3], 2), "%; ", .ci0 * 100,"% percentile: (", round(.qi[2], 2), "%,", round(.qi[4], 2), "%); rtol=", diff --git a/vignettes/articles/rxode2-validate.Rmd b/vignettes/articles/rxode2-validate.Rmd new file mode 100644 index 0000000..38495b8 --- /dev/null +++ b/vignettes/articles/rxode2-validate.Rmd @@ -0,0 +1,140 @@ +--- +title: "Qualify rxode2 model against Monolix" +output: rmarkdown::html_vignette +vignette: > + %\VignetteIndexEntry{Qualify rxode2 model against Monolix} + %\VignetteEngine{knitr::rmarkdown} + %\VignetteEncoding{UTF-8} +--- + +```{r, include = FALSE} +knitr::opts_chunk$set( + collapse = TRUE, + comment = "#>" +) +library(rxode2) +setRxThreads(1L) +library(data.table) +setDTthreads(1L) +``` + + +```{r setup} + +library(monolix2rx) +# You use the path to the monolix mlxtran file + +# In this case we will us the theophylline project included in monolix2rx +pkgTheo <- system.file("theo/theophylline_project.mlxtran", package="monolix2rx") + +# Note you have to setup monolix2rx to use the model library or save the model as a separate file +mod <- monolix2rx(pkgTheo) + +print(mod) + +``` + +### Comparing differences between `Monolix` and `rxode2` + +You may wish to see where the differences in predictions are between +Monolix and rxode2. + +The `rxode2` generated outputs are compared with the `Monolix` +generated outputs for the following items: + +- **Population Predictions:** this shows if the model translation is + adequate to simulate general trends; This will validate structural + model's population parameters coupled with the model structure. + +- **Individual Predictions:** this shows if the model translation is + able to replicate the same values over all the subjects within the + modeling data-set. This validates the model can reproduce the + between subject variability observed in the study. + +- **Individual Weighted Residuals:** this is one step further than the + individual parameter validation, it couples the individual + predictions, the observations and the residual specification to + generate the individual weighted residuals. This is included to be + consistent with the `nonmem2rx` residuals. However, since this is + not needed to manually adjust the residual errors, this simply looks + at if the errors were converted correctly. + +**Note:** the only part that is not validated with these three metrics +is the between subject covariance matrix, `omega`. We assume this is +correct as long as it is read in correctly. + +## Comparing numerically + +If you want numerical differences, you can also get these from the +modified returned `ui` object. For the rtol, atol as follows you have: + +```{r tol} +mod$iwresAtol +mod$iwresRtol +mod$ipredAtol +mod$ipredRtol +mod$predAtol +mod$predAtol +``` + +You can see they do not exactly match but are very close (I would say +they validate). However you can explore these difference further if you wish +by looking at the `ipredCompare` and `predCompare` datasets: + +```{r compare} +head(mod$iwresCompare) + +head(mod$ipredCompare) + +head(mod$predCompare) +``` + +In these cases you can see that Monolix seems to round the values to 5 +digits, while `rxode2` keeps everything since it is solved in R +directly. + +Note this is the **observation data only** that is compared. Dosing +predictions are excluded from these comparisons. + +You can also explore the Monolix translated input dataset that was +used to make the validation predictions (dosing and observations) by +the `$monolixData` item: + +```{r monolixData} +head(mod$monolixData) # with nlme loaded you can also use getData(mod) +``` + +## Comparing visually + +The easiest way to visually compare the differences is by the plot method: + +```{r plot} + +plot(mod) # for general plot + +# you can also see individual comparisons +plot(mod, log="y", ncol=2, nrow=2, + xlab="Time (hr)", ylab="Concentrations", + page=1) + +# If you want all pages you could use: +# +plot(mod, log="y", ncol=2, nrow=2, + xlab="Time (hr)", ylab="Concentrations", + page=TRUE) +``` + + +## Notes on validation + +The validation of the model uses the best data available for Monolix +estimates. This is: + +- `theta` or population parameters +- `eta` or individual parameters + +The `omega` and `sigma` matrices are captured. When the nlmixr2 model +is fully qualified, the `IWRES` validation ensures the residual errors +are specified correctly. Otherwise `omega` and `sigma` values do not contribute to +the validation. Also the overall covariance is captured, but not used +in the validation. From eabe02f56c7d45852545b84a3741f5161db25fb7 Mon Sep 17 00:00:00 2001 From: Matthew Fidler Date: Tue, 17 Sep 2024 11:40:05 -0500 Subject: [PATCH 07/17] Add simulate extra items --- R/rxSolve.R | 2 +- vignettes/articles/rxode2-validate.Rmd | 3 +- vignettes/articles/simulate-extra-items.Rmd | 124 ++++++++++++++++++++ 3 files changed, 127 insertions(+), 2 deletions(-) create mode 100644 vignettes/articles/simulate-extra-items.Rmd diff --git a/R/rxSolve.R b/R/rxSolve.R index 5d6eb09..12b37ed 100644 --- a/R/rxSolve.R +++ b/R/rxSolve.R @@ -6,7 +6,7 @@ rxSolve.monolix2rx <- function(object, params = NULL, events = NULL, maxsteps = 70000L, hmin = 0, hmax = NA_real_, hmaxSd = 0, hini = 0, maxordn = 12L, maxords = 5L, ..., cores, covsInterpolation = c("locf", "linear", "nocb", "midpoint"), naInterpolation = c("locf", - "nocb"), keepInterpolation = c("locf", "nocb", "na"), + "nocb"), keepInterpolation = c("na", "locf", "nocb"), addCov = TRUE, sigma = NULL, sigmaDf = NULL, sigmaLower = -Inf, sigmaUpper = Inf, nCoresRV = 1L, sigmaIsChol = FALSE, sigmaSeparation = c("auto", "lkj", "separation"), sigmaXform = c("identity", "variance", diff --git a/vignettes/articles/rxode2-validate.Rmd b/vignettes/articles/rxode2-validate.Rmd index 38495b8..a166acc 100644 --- a/vignettes/articles/rxode2-validate.Rmd +++ b/vignettes/articles/rxode2-validate.Rmd @@ -27,7 +27,8 @@ library(monolix2rx) # In this case we will us the theophylline project included in monolix2rx pkgTheo <- system.file("theo/theophylline_project.mlxtran", package="monolix2rx") -# Note you have to setup monolix2rx to use the model library or save the model as a separate file +# Note you have to setup monolix2rx to use the model library or save +# the model as a separate file mod <- monolix2rx(pkgTheo) print(mod) diff --git a/vignettes/articles/simulate-extra-items.Rmd b/vignettes/articles/simulate-extra-items.Rmd new file mode 100644 index 0000000..126bfef --- /dev/null +++ b/vignettes/articles/simulate-extra-items.Rmd @@ -0,0 +1,124 @@ +--- +title: "Simulate Derived Variables from imported Monolix model" +output: rmarkdown::html_vignette +vignette: > + %\VignetteIndexEntry{Simulate Derived Variables from imported Monolix model} + %\VignetteEngine{knitr::rmarkdown} + %\VignetteEncoding{UTF-8} +--- + +```{r, include = FALSE} +knitr::opts_chunk$set( + collapse = TRUE, + comment = "#>" +) +library(rxode2) +setRxThreads(1L) +library(data.table) +setDTthreads(1L) +``` + +This page shows a simple work-flow for directly simulating a different +dosing paradigm with new derived items, in this case `AUC`. + + +## Step 1: Import the model + +```{r setup} +library(monolix2rx) +library(rxode2) + + +# First we need the location of the nonmem control stream Since we are running an example, we will use one of the built-in examples in `nonmem2rx` +ctlFile <- system.file("mods/cpt/runODE032.ctl", package="nonmem2rx") +# You can use a control stream or other file. With the development +# version of `babelmixr2`, you can simply point to the listing file + +# You use the path to the monolix mlxtran file + +# In this case we will us the theophylline project included in monolix2rx +pkgTheo <- system.file("theo/theophylline_project.mlxtran", package="monolix2rx") + +# Note you have to setup monolix2rx to use the model library or save +# the model as a separate file +mod <- monolix2rx(pkgTheo) + +print(mod) + +``` + +## Step 2: Add AUC calculation + +The concentration in this case is the `Cc` from the model, a trick to +get the `AUC` is to have an additional ODE `d/dt(AUC) <- Cc` and use +some reset to get it per dosing period. + +However, this additional parameter is not part of the original model. +The calculation of AUC would depend on the number of observations in +your model, and for sparse data wouldn't be terribly accurate. + +One thing you can do is to use model piping append `d/dt(AUC) <- Cc` to +the imported model: + +```{r modAuc} +modAuc <- mod %>% + model(d/dt(AUC) <- Cc, append=TRUE) + +modAuc +``` + +You can also use `append=NA` to pre-pend or `append=f` to put the ODE +right after the `f` line in the model. + +## Step 3: Setup event table to calculate the AUC for a different dosing paradigm: + +Lets say that in this case instead of a single dose, we want to see +what the concentration profile is with a single day of BID dosing. In +this case is done by creating a [quick event +table](https://nlmixr2.github.io/rxode2/articles/rxode2-event-table.html). + +In this case since we are also wanting `AUC` per dosing period, you +can add a reset dose to the `AUC` compartment every time a dose is given +(so it will only track the AUC of the current dose): + +```{r eventTable} +ev <- et(amt=4, ii=12, until=24) %>% + et(amt=0, ii=12, until=24, cmt="AUC", evid=5) %>% # replace AUC with zero at dosing + et(c(0, 4, 8, 11.999, 12, 12.01, 14, 20, 23.999, 24, 24.001, 28, 32, 36)) %>% + et(id=1:10) +``` + +## Step 4: Solve using `rxode2` + +In this step, we solve the model with the new event table for the 10 +subjects: + +```{r solve} +s <- rxSolve(modAuc, ev) +``` + +Note that since this derived from a `nonmem2rx` model, the default +solving will match the tolerances and methods specified in your +`NONMEM` model. + +## Step 5: Exploring the simulation (by plotting), and summarizing (dplyr) + +This solved object acts the same as any other `rxode2` solved object, +so you can use the `plot()` function to see the individual running AUC profiles +you simulated: + +```{r plot} +library(ggplot2) +plot(s, AUC) + + ylab("Running AUC") +``` + +You can also select the points near the dosing to get the AUC for the +interval: + +```{r gatherAuc} +library(dplyr) +s %>% filter(time %in% c(11.999, 23.999)) %>% + mutate(time=round(time)) %>% + select(id, time, AUC) +``` From 794a091dc4e420e0a1ec864a7b5f32129cdf75fa Mon Sep 17 00:00:00 2001 From: Matthew Fidler Date: Tue, 17 Sep 2024 11:45:34 -0500 Subject: [PATCH 08/17] Simulate new dosing scenarios --- vignettes/articles/simulate-new-dosing.Rmd | 89 ++++++++++++++++++++++ 1 file changed, 89 insertions(+) create mode 100644 vignettes/articles/simulate-new-dosing.Rmd diff --git a/vignettes/articles/simulate-new-dosing.Rmd b/vignettes/articles/simulate-new-dosing.Rmd new file mode 100644 index 0000000..9f6ff1a --- /dev/null +++ b/vignettes/articles/simulate-new-dosing.Rmd @@ -0,0 +1,89 @@ +--- +title: "Simulate New dosing from Monolix model" +output: rmarkdown::html_vignette +vignette: > + %\VignetteIndexEntry{Simulate New dosing from Monolix model} + %\VignetteEngine{knitr::rmarkdown} + %\VignetteEncoding{UTF-8} +--- + +```{r, include = FALSE} +knitr::opts_chunk$set( + collapse = TRUE, + comment = "#>" +) +library(rxode2) +setRxThreads(1L) +library(data.table) +setDTthreads(1L) +``` + +This page shows a simple work-flow for directly simulating a different +dosing paradigm than what was modeled. + + +## Step 1: Import the model + +```{r setup} +library(monolix2rx) +library(rxode2) + +library(monolix2rx) +# You use the path to the monolix mlxtran file + +library(monolix2rx) +# You use the path to the monolix mlxtran file + +# In this case we will us the theophylline project included in monolix2rx +pkgTheo <- system.file("theo/theophylline_project.mlxtran", package="monolix2rx") + +# Note you have to setup monolix2rx to use the model library or save +# the model as a separate file +mod <- monolix2rx(pkgTheo) + +print(mod) + +``` + +## Step 2: Look at a different dosing paradigm + +Lets say that in this case instead of a single dose, we want to see +what the concentration profile is with a single day of BID dosing. +In this case is done by creating a [quick event table](https://nlmixr2.github.io/rxode2/articles/rxode2-event-table.html): + +```{r eventTable} +ev <- et(amt=4, ii=12, until=24) %>% + et(list(c(0, 2), # add observations in windows + c(4, 6), + c(8, 12), + c(14, 18), + c(20, 26), + c(28, 32), + c(32, 36), + c(36, 44))) %>% + et(id=1:10) +``` + +## Step 3: solve using `rxode2` + +In this step, we solve the model with the new event table for the 10 +subjects: + +```{r solve} +s <- rxSolve(mod, ev) +``` + +Note that since this is a `nonmem2rx` model, the default solving will +match the tolerances and methods specified in your `NONMEM` model. + +## Step 4: exploring the simulation (by plotting) + +This solved object acts the same as any other `rxode2` solved object, +so you can use the `plot()` function to see the individual profiles +you simulated: + +```{r plot} +library(ggplot2) +plot(s, ipredSim) + + ylab("Concentrations") +``` From e68f490b2ab89a6ebd02d704873a1710fd5a4281 Mon Sep 17 00:00:00 2001 From: Matthew Fidler Date: Tue, 17 Sep 2024 11:51:26 -0500 Subject: [PATCH 09/17] Add uncertainty vignette --- vignettes/articles/simulate-new-dosing.Rmd | 4 - vignettes/articles/simulate-uncertainty.Rmd | 98 +++++++++++++++++++++ 2 files changed, 98 insertions(+), 4 deletions(-) create mode 100644 vignettes/articles/simulate-uncertainty.Rmd diff --git a/vignettes/articles/simulate-new-dosing.Rmd b/vignettes/articles/simulate-new-dosing.Rmd index 9f6ff1a..3d57664 100644 --- a/vignettes/articles/simulate-new-dosing.Rmd +++ b/vignettes/articles/simulate-new-dosing.Rmd @@ -28,10 +28,6 @@ dosing paradigm than what was modeled. library(monolix2rx) library(rxode2) -library(monolix2rx) -# You use the path to the monolix mlxtran file - -library(monolix2rx) # You use the path to the monolix mlxtran file # In this case we will us the theophylline project included in monolix2rx diff --git a/vignettes/articles/simulate-uncertainty.Rmd b/vignettes/articles/simulate-uncertainty.Rmd new file mode 100644 index 0000000..caff92a --- /dev/null +++ b/vignettes/articles/simulate-uncertainty.Rmd @@ -0,0 +1,98 @@ +--- +title: "Simulate using Parameter Uncertainty" +output: rmarkdown::html_vignette +vignette: > + %\VignetteIndexEntry{Simulate using Parameter Uncertainty} + %\VignetteEngine{knitr::rmarkdown} + %\VignetteEncoding{UTF-8} +--- + +```{r, include = FALSE} +knitr::opts_chunk$set( + collapse = TRUE, + comment = "#>" +) +library(rxode2) +setRxThreads(1L) +library(data.table) +setDTthreads(1L) +``` + +This page shows a simple work-flow for directly simulating a different +dosing paradigm than what was modeled taking into account the modeled +uncertainty. This workflow is very similar to simply [simulating +without uncertainty](simulate-new-dosing.html) in the parameters +themselves. + +## Step 1: Import the model + +```{r setup} + +library(monolix2rx) +library(rxode2) +# its best practice to set the seed for the simulations +set.seed(42) +rxSetSeed(42) + + +# You use the path to the monolix mlxtran file + +# In this case we will us the theophylline project included in monolix2rx +pkgTheo <- system.file("theo/theophylline_project.mlxtran", package="monolix2rx") + +# Note you have to setup monolix2rx to use the model library or save +# the model as a separate file +mod <- monolix2rx(pkgTheo) + +print(mod) +``` +## Step 2: Look at a different dosing paradigm + +Lets say that in this case instead of a single dose, we want to see +what the concentration profile is with a single day of BID dosing. In +this case is done by creating a [quick event +table](https://nlmixr2.github.io/rxode2/articles/rxode2-event-table.html). + +```{r eventTable} +ev <- et(amt=4, ii=12, until=24) %>% + et(c(1:6, seq(8, 24, by=2))) %>% + et(id=1:100) +``` + + + +## Step 3: Solve using the uncertainty in the NONMEM model + +To use the uncertainty in the model, it is a simple matter of telling +how many times `rxode2()` should sample with `nStud=X`. In this case +we will use `100`. + +```{r rxSolve} +s <- rxSolve(mod, ev, nStud=100) + +s +``` + + +## Step 4: Summarize and plot + +Since there is a bunch of data, a confidence band of the simulation with uncertainty would be helpful. + +One way to do that is to select the interesting components, create a confidence interval and then plot the confidence bands: + + + +```{r confint} +sci <- confint(s, parm=c("CONC", "sim")) + +sci + +p1 <- plot(sci) + +p2 <- plot(sci, log="y") + +library(patchwork) + +p1/p2 + + ``` From 008168c598bf3f6fceb4b5d933e79a2a1bc58e89 Mon Sep 17 00:00:00 2001 From: Matthew Fidler Date: Tue, 17 Sep 2024 12:35:07 -0500 Subject: [PATCH 10/17] Fix closing ``` --- vignettes/articles/simulate-uncertainty.Rmd | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/vignettes/articles/simulate-uncertainty.Rmd b/vignettes/articles/simulate-uncertainty.Rmd index caff92a..50e8361 100644 --- a/vignettes/articles/simulate-uncertainty.Rmd +++ b/vignettes/articles/simulate-uncertainty.Rmd @@ -95,4 +95,4 @@ library(patchwork) p1/p2 - ``` +``` From 57d107169bc30f3e7e19b7566632639f9a1f7550 Mon Sep 17 00:00:00 2001 From: Matthew Fidler Date: Tue, 17 Sep 2024 12:47:49 -0500 Subject: [PATCH 11/17] Parse down the exports --- NAMESPACE | 5 --- R/dataCov.R | 2 +- R/dataImport.R | 2 +- R/endpointInfo.R | 2 +- R/etaImport.R | 2 +- R/ipredImport.R | 2 +- _pkgdown.yml | 46 ++++++++++++++++++++++ man/mlxtranGetMutate.Rd | 28 ------------- man/monolixDataImport.Rd | 52 ------------------------- man/monolixEndpoints.Rd | 20 ---------- man/monolixEtaImport.Rd | 24 ------------ man/monolixPredIpred.Rd | 24 ------------ vignettes/articles/mod-PowerPoint.pptx | Bin 853271 -> 854841 bytes vignettes/articles/mod-Word.docx | Bin 589528 -> 591117 bytes 14 files changed, 51 insertions(+), 158 deletions(-) create mode 100644 _pkgdown.yml delete mode 100644 man/mlxtranGetMutate.Rd delete mode 100644 man/monolixDataImport.Rd delete mode 100644 man/monolixEndpoints.Rd delete mode 100644 man/monolixEtaImport.Rd delete mode 100644 man/monolixPredIpred.Rd diff --git a/NAMESPACE b/NAMESPACE index 99c7cff..b11b395 100644 --- a/NAMESPACE +++ b/NAMESPACE @@ -69,13 +69,8 @@ export(logit) export(lotri) export(mlxTxt) export(mlxtran) -export(mlxtranGetMutate) export(model) export(monolix2rx) -export(monolixDataImport) -export(monolixEndpoints) -export(monolixEtaImport) -export(monolixPredIpred) export(rxRename) export(rxSolve) export(rxUiGet) diff --git a/R/dataCov.R b/R/dataCov.R index cc87b37..7e50e4e 100644 --- a/R/dataCov.R +++ b/R/dataCov.R @@ -3,7 +3,7 @@ #' #' @param mlxtran input mlxtran file #' @return mlxtran string that can be applied to a model (by evaluating it) -#' @export +#' @noRd #' @author Matthew L. Fidler #' @examples #' diff --git a/R/dataImport.R b/R/dataImport.R index 558e051..32f20f4 100644 --- a/R/dataImport.R +++ b/R/dataImport.R @@ -211,7 +211,7 @@ #' @inheritParams utils::read.table #' @return Dataset appropriate for using with the rxode2 model for #' simulations -#' @export +#' @noRd #' @author Matthew L. Fidler #' @examples #' diff --git a/R/endpointInfo.R b/R/endpointInfo.R index 9127fd2..5d39787 100644 --- a/R/endpointInfo.R +++ b/R/endpointInfo.R @@ -4,7 +4,7 @@ #' @param mlxtran This is the parsed mlxtran or imported rxode2 model from monolix #' #' @return nothing, called for side effects -#' @export +#' @noRd #' @author Matthew L. Fidler monolixEndpoints <- function(mlxtran) { mlxtran <- .monolixGetMlxtran(mlxtran) diff --git a/R/etaImport.R b/R/etaImport.R index c9f0219..c43bdf7 100644 --- a/R/etaImport.R +++ b/R/etaImport.R @@ -3,7 +3,7 @@ #' @param mlxtran mlxtran file where data input is specified #' @inheritParams utils::read.table #' @author Matthew L Fidler -#' @export +#' @noRd monolixEtaImport <- function(mlxtran, na.strings=c("NA", ".")) { mlxtran <- .monolixGetMlxtran(mlxtran) if (is.null(mlxtran)) return(NULL) diff --git a/R/ipredImport.R b/R/ipredImport.R index e1b8078..156ebe0 100644 --- a/R/ipredImport.R +++ b/R/ipredImport.R @@ -53,7 +53,7 @@ #' @param mlxtran mlxtran file where data input is specified #' @inheritParams utils::read.table #' @author Matthew L Fidler -#' @export +#' @noRd monolixPredIpred <- function(mlxtran, na.strings=c("NA", ".")) { mlxtran <- .monolixGetMlxtran(mlxtran) withr::with_dir(.monolixGetPwd(mlxtran), { diff --git a/_pkgdown.yml b/_pkgdown.yml new file mode 100644 index 0000000..31cef9a --- /dev/null +++ b/_pkgdown.yml @@ -0,0 +1,46 @@ +url: ~ +template: + bootstrap: 5 + params: + bootswatch: flatly +reference: + - title: Importing Monolix to rxode2 + contents: + - monolix2rx + - title: Reading in `mlxtran` + contents: + - mlxtran + - mlxTxt +navbar: + left: + - text: Converting + icon: fa-arrow-right + menu: + - text: "Converting Monolix to nlmixr2 object" + href: articles/convert-nlmixr2.html + - text: "Qualify" + icon: fa-check + href: articles/rxode2-validate.html + - text: "Simulation" + icon: fa-dice + menu: + - text: "New Dosing Scenarios" + href: articles/simulate-new-dosing.html + - text: "Simulating with Uncertainty" + href: articles/simulate-uncertainty.html + - text: "Simulating with Derived Variables" + href: articles/simulate-extra-items.html + - text: "Reporting" + menu: + - text: "Creating word and powerpoint documents" + href: articles/create-office.html + - text: "Easily create VPC plots" + href: articles/create-vpc.html + - text: "Create enriched Individual plots" + href: articles/create-augPred.html + - text: "Functions" + icon: fa-file-code-o + href: reference/index.html + - text: "News" + icon: fas fa-rss + href: news/index.html diff --git a/man/mlxtranGetMutate.Rd b/man/mlxtranGetMutate.Rd deleted file mode 100644 index feaf1c3..0000000 --- a/man/mlxtranGetMutate.Rd +++ /dev/null @@ -1,28 +0,0 @@ -% Generated by roxygen2: do not edit by hand -% Please edit documentation in R/dataCov.R -\name{mlxtranGetMutate} -\alias{mlxtranGetMutate} -\title{Get the string of the mutate statement for input dataset based on -mlxtran} -\usage{ -mlxtranGetMutate(mlxtran) -} -\arguments{ -\item{mlxtran}{input mlxtran file} -} -\value{ -mlxtran string that can be applied to a model (by evaluating it) -} -\description{ -Get the string of the mutate statement for input dataset based on -mlxtran -} -\examples{ - -covD <- system.file("cov", package="monolix2rx") -m <- mlxtran(file.path(covD, "phenobarbital_project.mlxtran")) -message(mlxtranGetMutate(m)) -} -\author{ -Matthew L. Fidler -} diff --git a/man/monolixDataImport.Rd b/man/monolixDataImport.Rd deleted file mode 100644 index caefe38..0000000 --- a/man/monolixDataImport.Rd +++ /dev/null @@ -1,52 +0,0 @@ -% Generated by roxygen2: do not edit by hand -% Please edit documentation in R/dataImport.R -\name{monolixDataImport} -\alias{monolixDataImport} -\title{Import a dataset from monolix (based on an imported model)} -\usage{ -monolixDataImport(ui, data, na.strings = c("NA", ".")) -} -\arguments{ -\item{ui}{A rxode2 ui model imported from monolix} - -\item{data}{dataset to convert to nlmixr2 format; if the dataset is -missing, load from the mlxtran specification} - -\item{na.strings}{a character vector of strings which are to be - interpreted as \code{\link{NA}} values. Blank fields are also - considered to be missing values in logical, integer, numeric and - complex fields. Note that the test happens \emph{after} - white space is stripped from the input (if enabled), so \code{na.strings} - values may need their own white space stripped in advance.} -} -\value{ -Dataset appropriate for using with the rxode2 model for -simulations -} -\description{ -Import a dataset from monolix (based on an imported model) -} -\examples{ - -# First load in the model; in this case the theo model -# This is modified from the Monolix demos by saving the model -# File as a text file (hence you can access without model library) -# setup. -# -# This example is also included in the monolix2rx package, so -# you refer to the location with `system.file()`: - -pkgTheo <- system.file("theo", package="monolix2rx") - -mod <- monolix2rx(file.path(pkgTheo, "theophylline_project.mlxtran")) - -# read in monolix dataset - -dat <- read.table(file.path(pkgTheo, "data", "theophylline_data.txt"),na=".", header=TRUE) - -monolixDataImport(mod, dat) - -} -\author{ -Matthew L. Fidler -} diff --git a/man/monolixEndpoints.Rd b/man/monolixEndpoints.Rd deleted file mode 100644 index 6753bf9..0000000 --- a/man/monolixEndpoints.Rd +++ /dev/null @@ -1,20 +0,0 @@ -% Generated by roxygen2: do not edit by hand -% Please edit documentation in R/endpointInfo.R -\name{monolixEndpoints} -\alias{monolixEndpoints} -\title{This gets the monolix endpoint information in the model} -\usage{ -monolixEndpoints(mlxtran) -} -\arguments{ -\item{mlxtran}{This is the parsed mlxtran or imported rxode2 model from monolix} -} -\value{ -nothing, called for side effects -} -\description{ -This gets the monolix endpoint information in the model -} -\author{ -Matthew L. Fidler -} diff --git a/man/monolixEtaImport.Rd b/man/monolixEtaImport.Rd deleted file mode 100644 index 3cdd6ca..0000000 --- a/man/monolixEtaImport.Rd +++ /dev/null @@ -1,24 +0,0 @@ -% Generated by roxygen2: do not edit by hand -% Please edit documentation in R/etaImport.R -\name{monolixEtaImport} -\alias{monolixEtaImport} -\title{Load data from a mlxtran defined dataset} -\usage{ -monolixEtaImport(mlxtran, na.strings = c("NA", ".")) -} -\arguments{ -\item{mlxtran}{mlxtran file where data input is specified} - -\item{na.strings}{a character vector of strings which are to be - interpreted as \code{\link{NA}} values. Blank fields are also - considered to be missing values in logical, integer, numeric and - complex fields. Note that the test happens \emph{after} - white space is stripped from the input (if enabled), so \code{na.strings} - values may need their own white space stripped in advance.} -} -\description{ -Load data from a mlxtran defined dataset -} -\author{ -Matthew L Fidler -} diff --git a/man/monolixPredIpred.Rd b/man/monolixPredIpred.Rd deleted file mode 100644 index 49c9ec0..0000000 --- a/man/monolixPredIpred.Rd +++ /dev/null @@ -1,24 +0,0 @@ -% Generated by roxygen2: do not edit by hand -% Please edit documentation in R/ipredImport.R -\name{monolixPredIpred} -\alias{monolixPredIpred} -\title{Load ipred/pred from a monolix run} -\usage{ -monolixPredIpred(mlxtran, na.strings = c("NA", ".")) -} -\arguments{ -\item{mlxtran}{mlxtran file where data input is specified} - -\item{na.strings}{a character vector of strings which are to be - interpreted as \code{\link{NA}} values. Blank fields are also - considered to be missing values in logical, integer, numeric and - complex fields. Note that the test happens \emph{after} - white space is stripped from the input (if enabled), so \code{na.strings} - values may need their own white space stripped in advance.} -} -\description{ -Load ipred/pred from a monolix run -} -\author{ -Matthew L Fidler -} diff --git a/vignettes/articles/mod-PowerPoint.pptx b/vignettes/articles/mod-PowerPoint.pptx index b11416722f510547a7b7428a569099aa699a4849..087cac2487bf510c5decc5625accea1ca567f279 100644 GIT binary patch delta 139204 zcmV(=K-s^SiZr>FG!0No0|XQR2nYxOkYzEk4Ko1)kYzEmLjhU>1CV7gv!DZG0t1j` zF_Q)cC4Xz%Fc5&>`zwsz9obIkR^h0yjWWgxfn{v$O_Q#PR$CIMYhC~Q$x7ljrS#3G z`|k7UPVMzm-xZI5(R#OL^`c@0IPHyfyEXf{y(vGkB9d}Ob>6|6jS$(jyl8b0+9Pbx z2SBnAizISU=&)vcq98brdJnydi$u7Tyz|&AN`E2lcu@LY?SMB`b;)}mWfUns3Cl1W z*->fqtPBs>Wr5KgI_SYsfDfxmXz&^eS=gdq#MLSc&Ff4{;=2HJP z|9$)YN4{!l-83oe(#E}3ek5aL#M>FiF+6ak0z$_vnXK(qDC90UmoOV2Z`=fq}#ObI}7I1DAS54 zTV9<{D8i$i-if@*#2mKAIUaffQ>1B$!xm1NU(3&5wl_>RRnwH!Wm$jN)+M9!>v08~`^TK!%Sm(g_$9JAyHq74I(Wihjf6|n{bkYzEK&%p&7C^;}W;13u 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These parameters slow down Monolix’s optimization, but can help in your simulation scenario. + +- [Simulating with Covariates/Input PK + parameters](https://nlmixr2.github.io/monolix2rx/articles/simulate-new-dosing-with-covs.html). This example shows approaches to resample from the input dataset for covariate selection. + +With nonmem2rx and babelmixr2, convert the imported rxode2 model to a nlmixr2 object, allowing: + +- [Generation of Word and PowerPoint plots with + nlmixr2rpt](https://nlmixr2.github.io/monolix2rx/articles/create-office.html) + +- [Easy VPC + creation](https://nlmixr2.github.io/monolix2rx/articles/create-vpc.html) + (with `vpcPlot()`) + +- [Easy Individual plots with extra solved + points](https://nlmixr2.github.io/monolix2rx/articles/create-augPred.html). This + will show the curvature of individual and population fits for + sparse data-sets (with `augPred()`) + ## Example diff --git a/vignettes/articles/mod-PowerPoint.pptx b/vignettes/articles/mod-PowerPoint.pptx index 087cac2487bf510c5decc5625accea1ca567f279..b954abaa512d521d81ea4d091c4767200f211d6d 100644 GIT binary patch delta 1511 zcmZuwdrVVj6u*x?F6H|K#v2L}Vdw+I-KJVm2C_ZEV`BA zcy{nrgw$;q2n+#X)>$%9nU9e1nwn{Xmq?XiRQTw48ss=RTqdPDYdG5JGqBqy@CFa^*X*FusC%p3>-Bty6(Pj>hZbm zv)jGN5eL!q~I>2ycg}Z3;n-ZlZpzzJWzYK-aDouk#sIsyyf|c zEI7mALf*Bs^E;TX?1Te%prN!H4n3MEEtR`;0*qr<6KdBooDmLaAJS6kH zxH-Az{UXQsopJIU%kzPD%edcYJIM2Vwwx)o`R+(}dVQdI!6`mJd@9DNS*yRIl3dSC zJ>4DEUSRs_$OD!2;oMAvwzZ|TH|pkqq3y|qH(M_@n9Fm0Ze6lBWzc5t%7w{D&$buu zxSm=6O`&XNuY3IBy@^hr-J0X88v2Adr=kx?wQw>Yn6@Ii%E5Twc4WpB*d1vDX; zHa=E^u$}C|XAtn%H9`2W$(S?*99d+{7zR-<=}RN4^vEd46R~Q1*kIf@20GZ4;!x~3 z`0gblr@-58Y^E)XzN{bTe=LyRIpf=D2_t+SGift(d(pq z6e8tI*2$Ad%AH>OGmzYhlLM4%1=%D-BUT_IcOz#TkkNk?00av`2v_V|8}K5RP=^hK zv2`YF_}UnkGrTw%k#r#axnhoR&#B;&&rQj4mvqj+6hNZJMXwXXPkI}338 z#pgLTS%7b6n>b)FtxCFB$(}xreT*gKH1ZZgCHWEhObEmL*cms^MB6S91QA0Lgdg^6 zPmkJR5PiTv4>Tr(ZY$FBqa7);I6nP~)OCoH1~JfWJ)5_9PD9$VCxdV^uNM^5#0a) delta 1493 zcmZXU2~1R16o%)$VfK4r6d4sp79o_S2%2FjSRAayMi!Ye+E5};>tHD)HY(9V6vl0w z0fd5jqm3~lNK$$8&@{&&vHJ9kEZ zQg-8{3?#&`?G~~4d_Jp0bq&ZUxgLI7#06eE6%$v}bIaYsigO&A zbOr0KA8&lw@4q3>V|s7G+mxyN&`sIxx$de(zLA2?AeR9}#;a=J(63VWNW&*?E5_%_ zpBS=sWPsW9yS{G@c;AX_7CikeHuBSm#Fn5BkEot}ZVk5XGn&^of15EZ^MkSV(W08) z)em1&-~D;%{MLiw#5P@Tb#kPmql=rx!j4N>uir=3<-4AspO202Dk-o3fxjZSJjHTqF#KYkP2yh7X&T^5-@m+^y=z9zB*Q6;$`ZOib z1YlYJObvo!N!`N$e9#aN3Q=4a=p`krgps3TE9nn*1MxgH^)RG2^n%?&V!}7eQGx(+ z^jX8;XL7`Bl0N(qI5$t$F%Tjl%|qV+N1GgL1fj%y*a+5;e9s703rbWglWZRXiA+FA z{fg2|z?)Q$nt+tbL6s&DOIsyKVFpfRD;6(9?KBjlU^8&0#3;cGWbUMcWAg_M`#m|V z3>AkJ!kWM8)GMTApGm{eLo)!R>!cY-*NN!=&cnh9ok1{RbYsvu`EFg;d z0xhtDDE4d)K%!g_z>F=m;<09Q$qIr=WE?3R z7)TdfWZ)73?llHX1l08m#BedF8W=cDV9PBAo?)P#qNO~TL~TdAcreJeovO)j>vg=8 z2#UpWpI;8EPQ9QDE#Si?6cxpobChnH3@fAKF$vj4SNBy#PJx1rqy&7>ZuZ{_ignxeK6_ia;L=pqFjF<*eta z12l`}z-O_X{`aaCYI~HAO&;VWxwONNYHR}Unfk^6njQlZG$eq26hd4flvDfAdLfLW dRw6A)fv8gm$qyOL3i0d!1Vzw`D>ni>?O#u^7%l(+ diff --git a/vignettes/articles/mod-Word.docx b/vignettes/articles/mod-Word.docx index 2a9155213bdc9004267310b06ddb625121798e44..d18e18a727248056104ac9fac840d4d6cadefa59 100644 GIT binary patch delta 4206 zcmZ8k2UL?w(@r3Sgx(WMkX|EAnh@!tNSC63fQU2!BSo4(q$8bR2u%b;kWd7pB1KRH zgrIb!Ne4lybm@Qa-ur*w{oZrt-F(GOrRDk=(XSQT>RWxWzxxtrbDC@LB1&y(xPVCH#{QOI*w| zw-bX+Dk?Jq>6?*Z9&9A(cF6+RW8H0<#027OrCzXCerg7(vIt{G@UH<|%lH{^Ym^9I z8KLx1XKn|V3`B07$>#-Fo4&{g#;0y@7OSEiD>r}5H(MS~=|T(-`%q$Oo03`W18-N# zF7O1qVT{h8E7qb*f3)tHit|~N;4~r>%!S7ged3|0#;~TU3+zA3C@%XtuoVfk95UE0 zg(v9^mtqaI%`qPX4A4rQD+<`UbY^s~V*|W<-WIpzLJi^VvtafjN=q zUgF(WB&`HaG%n^-e8&KL2~Df9x8-cht(KZe+K)qKjf3Nd3_~7@zwy_3=9cB>MJ4TG z1Nnyzsl907Qh6-FD_TlFwn|412m>FLO!TQC2#c9>eyl(MV3z^_`0q9mFVb*Roc8CK z9!3nLi#Y8Wc`l3zM2{+Sd^lMvW&-*4SS6GnRQh8zD|j_jvkhyH+{41Lt~RW;d9I?F z#*N9f$i29g!oF{zK(6?~nHj;onFoqbj&}~UdGyYaHe?KqZkN9#u^1l8L(-#$7PSk5E%6Ziy?a#;yh%p*;J@ zuYJsG2X1AB&rBE0=G2_R3QDuAQBKHhw_I(1m{4Zwjf&JR$j?()+XhU zjE-(Uj$7iCEw&tmYy1%17w#Pe2~RE#$93P)OR2&0kq7LXr-keh#ND()X?^dVwA)C1 z@7=W5uQ55(b5yy`@?lM;q+3n=?X6b~hQ{QV!X^`bb<;jeQ4cp5sAx%%sTtK4bRD=H zn|RX&n#58JOiaj2$L6+~rPGz}yf1oh5_0|ROS?r5kL-24p_HUDo8UEg;s*{ltZ`G> z@YH%kZ{EGDw3(h<&B&zLXrrt>6v{TeD2MjD?h%G`>}7tZ!K$F>uB@PzPTwtV_S%qd zS*oe#3vW$q$!V?Ikw z8H06&f^vz!y|L zRZO66u#8QstI==*srYFW!lx&rTG+yqHa{`wd;FsIUB-sDCFxPeyexU_Pvs=4TOkr> zhoIhS*w4PCkLHK65g(J9sJXt-TlDYuy*&H#Q_sa=ttuvLk-v!x+pC<3LJc3oFSa@u z!efcSD43gkVw%LI$NqBIt)uhG3xb zcw^gYj_}-5Ldo}mV~sOsXREi%q*P|!h1(7wKkLJW3cHEEd#I`H`eA|~Ql%!7h9O1V zSkul;rRuy`#N(?9PuV!L#J1yALWTR(G1Sc(!S}6A!ZzhAT4<+r%(qfbs1_Gn%xVJT zGPnA~q7Z19xb0v`dfc1OmWWc z@@tA^mTMFQ@jAt$(2hdh+85Lv+;>u$Gb}3$TxU!* zlsvJfVkq!f***hnRYl~EVWQR(5sS(#$DSA24G%S>VVO9tx!1Tx!hE$`lTW_MYRu%u zjb8P3e2K3ap`ohnv55M-CCw31QXMmiyE`o8b1 zX@hOj#1Cd7>IM&OLPG5$W?0NJVm2VsU8@^IQr8Z}uQHaz^lL97Shg#?$1kPLvxv}M z=+rP>--FSQ)0L&cS$Q$_RZ0#H-n&0`Ht>T>HP^m74j(%wOjW$&G@FQG#!vXwLN^n> zhQTi;2LpV~|c{@S~I5v4oJwV{DLNQ8~@r3@#(@fCkvR8wfU$1W*o@G8$J_m{0sa76DjBge%@pM zQ98}Se_7)OfQne6Sr z%B|Jx(+o(5nX+_-0I7_AI_tJy^`mouE7)>+waaM5`)gzP& z`6`5lr>tL+;mKZ|xRf!Q6H>%js$jn`yS1~Ze%0;y$&s0gV>4|?kG(O;42dYxN zu;u+M85Xm=Dqq~Dj7ZLpC0}vQDllltaIWgdm#=LB+d`gf@55x*#G#WqJ#R(7aGk5C z|7`YlzFT#}XK~YAcG_2-Cd8`^r-~_8bsYX}Ss6m%lCi>7aU)1HOVPx0J?9lu4r8~p zQ%-712TALJL+1$Cjp>H}vh_fi5C66F{UdV^{dU}2q~pI z_af@sGx@pl*#J^}p@eijOLOq@9GB&B+=?4w&&S19sd=tR$0MkSYE@bOVkXSMIyh~&6vUu-{uChCnF zpUcu1zC4tsjZMUnlW1Q%PL#=d7=g7vQ0Vrdn-v2>-Jzg@(Xx?#QqBP zX%pGn`=DxXlbu!F9$>tE{o9ZXNy|l=hFHxcS@AQ9ja^86{@x8JCN2hw7gj8+y7WLbtjL(+ZJnYxYQG_*K67; z-zkit&`+jauq8K)3K>R|EI;pP5p0@mw*R%&89Hya-@c~7M7 z+w`{`d|?xT6!d8xGfco)q9M-+x7U$wGFOy*)kwJxX?uxo?CH{|L8m z3!!g8(>Y>f5{CVl5t{H#^veK9p_P;^K8%(=bRjwG*E61k$lP_)q^MLTT`e13Ek#`| zcR_xbU_Q=b{TUBklyz;$s7YIYNOn`n;Iq)Y-N`Zk5$>U^9-{9r5hMkgC1@YTM!Jr? 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From 28b33fc7637177afe47be250ad5cbe864ac191dd Mon Sep 17 00:00:00 2001 From: Matthew Fidler Date: Wed, 18 Sep 2024 09:06:51 -0500 Subject: [PATCH 16/17] Update for CRAN --- .Rbuildignore | 1 + DESCRIPTION | 4 ++-- NEWS.md | 2 +- cran-comments.md | 8 ++++++++ 4 files changed, 12 insertions(+), 3 deletions(-) create mode 100644 cran-comments.md diff --git a/.Rbuildignore b/.Rbuildignore index 04b9f5f..2b51e2b 100644 --- a/.Rbuildignore +++ b/.Rbuildignore @@ -5,3 +5,4 @@ ^_pkgdown.yml$ ^.github$ ^vignettes/articles$ +^cran-comments\.md$ diff --git a/DESCRIPTION b/DESCRIPTION index 2e878e1..6394386 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -1,6 +1,6 @@ Package: monolix2rx Title: 'monolix2rx' Converts 'Monolix' Models to 'rxode2' -Version: 0.0.0.9000 +Version: 0.0.1 Authors@R: c(person("Matthew","Fidler", role = c("aut", "cre"), email = "matthew.fidler@gmail.com", comment=c(ORCID="0000-0001-8538-6691")), person("Justin", "Wilkins", role = "ctb", email = "justin.wilkins@occams.com", comment=c(ORCID="0000-0002-7099-9396"))) @@ -40,7 +40,7 @@ Imports: crayon, lotri, magrittr, - rxode2 (> 2.0.13), + rxode2 (> 3.0.0), Suggests: devtools, testthat (>= 3.0.0), diff --git a/NEWS.md b/NEWS.md index ba5f8ab..80bfec9 100644 --- a/NEWS.md +++ b/NEWS.md @@ -1,3 +1,3 @@ -# monolix2rx (development version) +# monolix2rx 0.0.1 * Initial CRAN submission. diff --git a/cran-comments.md b/cran-comments.md new file mode 100644 index 0000000..d944842 --- /dev/null +++ b/cran-comments.md @@ -0,0 +1,8 @@ + +This adds monolix import to the nlmixr2 ecosystem + +## R CMD check results + +0 errors | 0 warnings | 1 note + +* This is a new release. From 456fdc00f9d7a8f26345d02a0e741164e276687c Mon Sep 17 00:00:00 2001 From: Matthew Fidler Date: Wed, 18 Sep 2024 09:12:05 -0500 Subject: [PATCH 17/17] Fix rxode2 reqirement --- DESCRIPTION | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/DESCRIPTION b/DESCRIPTION index 6394386..a3b87f2 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -40,7 +40,7 @@ Imports: crayon, lotri, magrittr, - rxode2 (> 3.0.0), + rxode2 (>= 3.0.0), Suggests: devtools, testthat (>= 3.0.0),

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