ggPMX: 'ggplot2' Based Tool to Facilitate Diagnostic Plots for NLME Models

At Novartis, we aimed at standardizing the set of diagnostic plots used for modeling activities in order to reduce the overall effort required for generating such plots. For this, we developed a guidance that proposes an adequate set of diagnostics and a toolbox, called 'ggPMX' to execute them. 'ggPMX' is a toolbox that can generate all diagnostic plots at a quality sufficient for publication and submissions using few lines of code. This package focuses on plots recommended by ISoP <doi:10.1002/psp4.12161>. While not required, you can get/install the 'R' 'lixoftConnectors' package in the 'Monolix' installation, as described at the following url <https://monolixsuite.slp-software.com/r-functions/2024R1/installation-and-initialization>. When 'lixoftConnectors' is available, 'R' can use 'Monolix' directly to create the required Chart Data instead of exporting it from the 'Monolix' gui.

Version:	1.3.2
Depends:	R (≥ 3.5)
Imports:	data.table, yaml, R6, gtable, ggplot2 (≥ 3.4.0), ggforce, magrittr, stringr, assertthat, GGally, zoo, knitr, rmarkdown, tidyr, dplyr, purrr, readr, rlang, checkmate, scales
Suggests:	testthat, xtable, vdiffr, rxode2, nlmixr2est, nlmixr2data, nlme, lixoftConnectors, xgxr, withr, lifecycle
Published:	2025-09-05
DOI:	10.32614/CRAN.package.ggPMX
Author:	Amine Gassem [aut], Bruno Bieth [aut], Irina Baltcheva [aut], Thomas Dumortier [aut], Christian Bartels [aut], Souvik Bhattacharya [aut], Inga Ludwig [aut], Ines Paule [aut], Didier Renard [aut], Matthew Fidler [aut], Seid Hamzic [aut], Benjamin Guiastrennec [ctb], Kyle T Baron [ctb], Qing Xi Ooi [ctb], Aleksandr Pogodaev [aut, cre], Danielle Navarro [aut], Ibtissem Rebai [ctb], Mahmoud Ali [ctb], Novartis Pharma AG [cph]
Maintainer:	Aleksandr Pogodaev <alex.pogodaev at novartis.com>
BugReports:	https://github.com/ggPMXdevelopment/ggPMX/issues
License:	GPL-2
URL:	https://github.com/ggPMXdevelopment/ggPMX
NeedsCompilation:	no
Materials:	README, NEWS
CRAN checks:	ggPMX results

Documentation:

Downloads:

Reverse dependencies:

Linking:

Please use the canonical form https://CRAN.R-project.org/package=ggPMX to link to this page.