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.

ggplot2, data.table, deSolve, dplyr, getPass, magrittr,
foreach, parallel, doParallel, reshape

c(
person("Nan-Hung", "Hsieh", role = c("aut", "cre"), email = "d99622005@ntu.edu.tw", comment = c(ORCID = "0000-0003-0163-2766")),
person("Brad", "Reisfeld", role = "aut"),
person("Weihsueh A.", "Chiu", role = "aut", comment = c(ORCID = "0000-0002-7575-2368"))
)
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 (Hsieh et al., 2018 <doi:10.3389/fphar.2018.00588>).

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")))
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>).