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://monolix.lixoft.com/monolix-api/lixoftconnectors_installation/>.
When 'lixoftConnectors' is available, 'R' can use 'Monolix' directly to create the required
Chart Data instead of exporting it from the 'Monolix' gui.
Version: |
1.2.11 |
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, nlmixr2, nlmixr2data, lixoftConnectors, xgxr, withr, lifecycle |
Published: |
2023-11-30 |
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, cre],
Seid Hamzic [aut],
Benjamin Guiastrennec [ctb],
Kyle T Baron
[ctb],
Qing Xi Ooi [ctb],
Novartis Pharma AG [cph] |
Maintainer: |
Matthew Fidler <matt.fidler 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 |