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.


pksensi 1.0.1

New vignette:

  • Add "PBTK 1-compartment model"
  • Add "Acetaminophen-PBPK model"

New example:

  • Update example in solve_mcsim()

New function:

  • Add pbtk1cpt_model()
  • Add pbpk_apap_model()
  • Add function mcsim_version()

NEW dataset

  • Add APAP dataset

Fix Bug:

  • Fix the order argument in heat_check()
  • Add message in generate_infile()

Update function

  • Remove argument params in solve_fun()
  • No need to define and in solve_mcsim()


  • Change function's name install_mcsim() to mcsim_install()

pksensi 1.0.0

  • Initial release in CRAN

Reference manual

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1.0.1 by Nan-Hung Hsieh, 3 months ago,

Report a bug at

Browse source code at

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

Documentation:   PDF Manual  

GPL-3 | file LICENSE license

Imports ggplot2, data.table, deSolve, dplyr, getPass, magrittr, reshape

Suggests knitr, rmarkdown, testthat, viridis

See at CRAN