pksensi: Global Sensitivity Analysis in Physiologically Based Kinetic Modeling

Applying the global sensitivity analysis workflow to investigate the parameter uncertainty and sensitivity in pharmacokinetic (PK) models, especially the physiologically-based pharmacokinetic (PBPK) model with multivariate outputs. The package also provide some functions to check the sensitivity measures and its convergence of model parameters.

Version: 1.1.1
Depends: R (≥ 3.5)
Imports: ggplot2, data.table, deSolve, dplyr, getPass, magrittr, reshape
Suggests: knitr, rmarkdown, testthat, viridis
Published: 2019-05-29
Author: Nan-Hung Hsieh ORCID iD [aut, cre], Brad Reisfeld [aut], Weihsueh A. Chiu ORCID iD [aut]
Maintainer: Nan-Hung Hsieh <nhsieh at cvm.tamu.edu>
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 PBTK model
Package source: pksensi_1.1.1.tar.gz
Windows binaries: r-devel: pksensi_1.1.1.zip, r-release: pksensi_1.1.1.zip, r-oldrel: pksensi_1.1.1.zip
OS X binaries: r-release: pksensi_1.1.1.tgz, r-oldrel: pksensi_1.1.1.tgz
Old sources: pksensi archive

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