pksensi: Global Sensitivity Analysis in Pharmacokinetic 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: 1.0.0
Depends: R (≥ 3.3.0)
Imports: data.table, deSolve, dplyr, getPass, ggplot2, magrittr, reshape
Suggests: covr, knitr, rmarkdown, testthat, viridis
Published: 2018-10-30
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)
URL: https://github.com/nanhung/pksensi
NeedsCompilation: no
Materials: NEWS
CRAN checks: pksensi results

Downloads:

Reference manual: pksensi.pdf
Package source: pksensi_1.0.0.tar.gz
Windows binaries: r-devel: pksensi_1.0.0.zip, r-release: pksensi_1.0.0.zip, r-oldrel: pksensi_1.0.0.zip
OS X binaries: r-release: pksensi_1.0.0.tgz, r-oldrel: pksensi_1.0.0.tgz

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