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://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] (<https://orcid.org/0000-0001-8538-6691>),
Seid Hamzic [aut],
Benjamin Guiastrennec [ctb],
Kyle T Baron
[ctb] (<https://orcid.org/0000-0001-7252-5656>),
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 |
Documentation:
Downloads:
Reverse dependencies:
Linking:
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