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 447 downloads 15 exports 34 dependencies

Last updated 3 months agofrom:a775203eab. Checks:8 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 25 2025
R-4.5-winOKFeb 25 2025
R-4.5-macOKFeb 25 2025
R-4.5-linuxOKFeb 25 2025
R-4.4-winOKFeb 25 2025
R-4.4-macOKFeb 25 2025
R-4.3-winOKFeb 25 2025
R-4.3-macOKFeb 25 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 Feb 25 2025.

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

One-compartment PK model

Rendered frompbtk1cpt.Rmdusingknitr::rmarkdownon Feb 25 2025.

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