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. The workflow was first mentioned in Hsieh et al., (2018) <doi:10.3389/fphar.2018.00588>, then further refined (Hsieh et al., 2020 <doi:10.1016/j.softx.2020.100609>).

Version: 1.2.3
Depends: R (≥ 4.1)
Imports: ggplot2, data.table, deSolve, foreach, parallel, doParallel
Suggests: covr, knitr, httk, rmarkdown, testthat
Published: 2022-09-21
DOI: 10.32614/CRAN.package.pksensi
Author: Nan-Hung Hsieh ORCID iD [aut, cre], Brad Reisfeld ORCID iD [ctb], Weihsueh A. Chiu ORCID iD [ctb]
Maintainer: Nan-Hung Hsieh <d99622005 at>
License: GPL-3 | file LICENSE
NeedsCompilation: no
Language: en-US
Citation: pksensi citation info
Materials: NEWS
CRAN checks: pksensi results


Reference manual: pksensi.pdf
Vignettes: Acetaminophen-PBPK model
One-compartment PK model


Package source: pksensi_1.2.3.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): pksensi_1.2.3.tgz, r-oldrel (arm64): pksensi_1.2.3.tgz, r-release (x86_64): pksensi_1.2.3.tgz, r-oldrel (x86_64): pksensi_1.2.3.tgz
Old sources: pksensi archive


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