Package: pksensi 1.4.0.9000

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>).

Authors:Nan-Hung Hsieh [aut, cre], Brad Reisfeld [ctb], Weihsueh A. Chiu [ctb]

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pksensi.pdf |pksensi.html
pksensi/json (API)
NEWS

# Install 'pksensi' in R:
install.packages('pksensi', repos = c('https://nanhung.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/nanhung/pksensi/issues

Pkgdown site:https://nanhung.github.io

Datasets:
  • APAP - Pharmacokinetic Dataset of Acetaminophen

On CRAN:

Conda:

gnu-mcsimpharmacokineticssensitivitysensitivity-analysis

5.64 score 5 stars 88 scripts 339 downloads 15 exports 34 dependencies

Last updated 4 months agofrom:a775203eab. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 27 2025
R-4.5-winOKMar 27 2025
R-4.5-macOKMar 27 2025
R-4.5-linuxOKMar 27 2025
R-4.4-winOKMar 27 2025
R-4.4-macOKMar 27 2025
R-4.4-linuxOKMar 27 2025
R-4.3-winOKMar 27 2025
R-4.3-macOKMar 27 2025

Exports:checkcompile_modelFFPKgenerate_infileheat_checkmcsim_installmcsim_versionpbpk_apap_modelpbtk1cpt_modelpksimrfast99set_rtools40_pathsolve_funsolve_mcsimtell2

Dependencies:clicodetoolscolorspacedata.tabledeSolvedoParallelfansifarverforeachggplot2gluegtableisobanditeratorslabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerrlangscalestibbleutf8vctrsviridisLitewithr

Acetaminophen-PBPK model

Rendered frompbpk_apap.Rmdusingknitr::rmarkdownon Mar 27 2025.

Last update: 2022-09-20
Started: 2019-01-19

One-compartment PK model

Rendered frompbtk1cpt.Rmdusingknitr::rmarkdownon Mar 27 2025.

Last update: 2022-09-05
Started: 2019-01-12