Package: pksensi
Title: Global Sensitivity Analysis in Physiologically Based Kinetic
        Modeling
Version: 1.2.3
Authors@R: 
    c(person(given = "Nan-Hung", 
             family = "Hsieh", 
             role = c("aut", "cre"),
             email = "d99622005@ntu.edu.tw",
             comment = c(ORCID = "0000-0003-0163-2766")),
      person(given = "Brad", 
             family = "Reisfeld",
             role = "ctb", 
             comment = c(ORCID = "0000-0003-1310-1495")),
      person(given = "Weihsueh A.", 
             family =  "Chiu", 
             role = "ctb", 
             comment = c(ORCID = "0000-0002-7575-2368")))
Description: 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>).                
License: GPL-3 | file LICENSE
URL: https://github.com/nanhung/pksensi,
        https://nanhung.github.io/pksensi/
BugReports: https://github.com/nanhung/pksensi/issues
Depends: R (>= 4.1)
Imports: ggplot2, data.table, deSolve, foreach, parallel, doParallel
Suggests: covr, knitr, httk, rmarkdown, testthat
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.2.1
Language: en-US
NeedsCompilation: no
Packaged: 2022-09-21 16:56:17 UTC; lanhsieh
Author: Nan-Hung Hsieh [aut, cre] (<https://orcid.org/0000-0003-0163-2766>),
  Brad Reisfeld [ctb] (<https://orcid.org/0000-0003-1310-1495>),
  Weihsueh A. Chiu [ctb] (<https://orcid.org/0000-0002-7575-2368>)
Maintainer: Nan-Hung Hsieh <d99622005@ntu.edu.tw>
Repository: CRAN
Date/Publication: 2022-09-21 18:20:02 UTC
Built: R 4.5.1; ; 2025-10-29 03:20:39 UTC; windows
