<?xml version="1.0" encoding="UTF-8"?>
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>'ggplot2' Based Tool to Facilitate Diagnostic Plots for NLME
Models</dc:title>
  <dc:title>R package ggPMX version 1.3.2</dc:title>
  <dc:description>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
  &lt;doi:10.1002/psp4.12161&gt;. While not required, you can get/install the 'R' 'lixoftConnectors'
    package in the 'Monolix' installation, as described at the following url
    &lt;https://monolixsuite.slp-software.com/r-functions/2024R1/installation-and-initialization&gt;.
    When 'lixoftConnectors' is available, 'R' can use 'Monolix' directly to create the required
    Chart Data instead of exporting it from the 'Monolix' gui.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 3.5)</dc:relation>
  <dc:relation>Imports: data.table, yaml, R6, gtable, ggplot2 (&gt;= 3.4.0), ggforce,
magrittr, stringr, assertthat, GGally, zoo, knitr, rmarkdown,
tidyr, dplyr, purrr, readr, rlang, checkmate, scales</dc:relation>
  <dc:relation>Suggests: testthat, xtable, vdiffr, rxode2, nlmixr2est, nlmixr2data,
nlme, lixoftConnectors, xgxr, withr, lifecycle</dc:relation>
  <dc:creator>Aleksandr Pogodaev &lt;alex.pogodaev@novartis.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>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] (ORCID: &lt;https://orcid.org/0000-0001-8538-6691&gt;),
  Seid Hamzic [aut],
  Benjamin Guiastrennec [ctb],
  Kyle T Baron [ctb] (ORCID: &lt;https://orcid.org/0000-0001-7252-5656&gt;),
  Qing Xi Ooi [ctb],
  Aleksandr Pogodaev [aut, cre] (ORCID:
    &lt;https://orcid.org/0000-0002-1371-207X&gt;),
  Danielle Navarro [aut],
  Ibtissem Rebai [ctb],
  Mahmoud Ali [ctb],
  Novartis Pharma AG [cph]</dc:contributor>
  <dc:rights>GPL-2</dc:rights>
  <dc:date>2025-09-05</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=ggPMX</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.ggPMX</dc:identifier>
</oai_dc:dc>