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.

Version: 1.1.2
Depends: R (≥ 3.5)
Imports: data.table, yaml, R6, gtable, ggplot2 (≥ 2.2.0), magrittr, stringr, assertthat, GGally, zoo, knitr, rmarkdown
Suggests: testthat, xtable, nlmixr
Published: 2020-06-25
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 ORCID iD [ctb, cre], Qing Xi Ooi [ctr], Novartis Pharma AG [cph]
Maintainer: Matthew Fidler <matthew.fidler at>
License: GPL-2
NeedsCompilation: no
Materials: README
CRAN checks: ggPMX results


Reference manual: ggPMX.pdf
Vignettes: ggPMX: User guide
Package source: ggPMX_1.1.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release: ggPMX_1.1.2.tgz, r-oldrel: ggPMX_1.1.2.tgz
Old sources: ggPMX archive


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