pksensi: Global Sensitivity Analysis in Physiologically Based Kinetic Modeling

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 (Hsieh et al., 2018 <doi:10.3389/fphar.2018.00588>).

Version: 1.2.0
Depends: R (≥ 3.6)
Imports: ggplot2, data.table, deSolve, dplyr, getPass, magrittr, foreach, parallel, doParallel, reshape
Suggests: knitr, rmarkdown, testthat
Published: 2020-06-15
Author: Nan-Hung Hsieh ORCID iD [aut, cre], Brad Reisfeld [aut], Weihsueh A. Chiu ORCID iD [aut]
Maintainer: Nan-Hung Hsieh <d99622005 at ntu.edu.tw>
BugReports: https://github.com/nanhung/pksensi/issues
License: GPL-3 | file LICENSE
URL: https://github.com/nanhung/pksensi, https://nanhung.rbind.io/pksensi
NeedsCompilation: no
Materials: NEWS
CRAN checks: pksensi results

Downloads:

Reference manual: pksensi.pdf
Vignettes: Acetaminophen-PBPK model
One-compartment PK model
Package source: pksensi_1.2.0.tar.gz
Windows binaries: r-devel: pksensi_1.2.0.zip, r-release: pksensi_1.2.0.zip, r-oldrel: pksensi_1.2.0.zip
macOS binaries: r-release: pksensi_1.2.0.tgz, r-oldrel: pksensi_1.2.0.tgz
Old sources: pksensi archive

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