<?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>Global Sensitivity Analysis in Physiologically Based Kinetic
Modeling</dc:title>
  <dc:title>R package pksensi version 1.2.3</dc:title>
  <dc:description>Applying the global sensitivity analysis workflow to investigate 
    the parameter uncertainty and sensitivity in physiologically based 
    kinetic (PK) models, especially the physiologically based 
    pharmacokinetic/toxicokinetic model with multivariate outputs. 
    The package also provides some functions to check the convergence 
    and sensitivity of model parameters. The workflow was first mentioned 
    in Hsieh et al., (2018) &lt;doi:10.3389/fphar.2018.00588&gt;, then further 
    refined (Hsieh et al., 2020 &lt;doi:10.1016/j.softx.2020.100609&gt;).                </dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 4.1)</dc:relation>
  <dc:relation>Imports: ggplot2, data.table, deSolve, foreach, parallel, doParallel</dc:relation>
  <dc:relation>Suggests: covr, knitr, httk, rmarkdown, testthat</dc:relation>
  <dc:creator>Nan-Hung Hsieh &lt;d99622005@ntu.edu.tw&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Nan-Hung Hsieh [aut, cre] (ORCID:
    &lt;https://orcid.org/0000-0003-0163-2766&gt;),
  Brad Reisfeld [ctb] (ORCID: &lt;https://orcid.org/0000-0003-1310-1495&gt;),
  Weihsueh A. Chiu [ctb] (ORCID: &lt;https://orcid.org/0000-0002-7575-2368&gt;)</dc:contributor>
  <dc:rights>GPL-3</dc:rights>
  <dc:rights>file LICENSE (https://CRAN.R-project.org/package=pksensi/LICENSE)</dc:rights>
  <dc:date>2022-09-21</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=pksensi</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.pksensi</dc:identifier>
  <dc:language>en-US</dc:language>
</oai_dc:dc>
