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pksensi
View on CRAN: Click
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Download and install pksensi package within the R console
Install from CRAN:
install.packages("pksensi")
Install from Github:
library("remotes")
install_github("cran/pksensi")
Install by package version:
library("remotes")
install_version("pksensi", "1.2.3")
Attach the package and use:
library("pksensi")
Maintained by
Nan-Hung Hsieh
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-10-30
Latest Update: 2022-09-21
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) , then further
refined (Hsieh et al., 2020 ).
How to cite:
Nan-Hung Hsieh (2018). pksensi: Global Sensitivity Analysis in Physiologically Based Kinetic Modeling. R package version 1.2.3, https://cran.r-project.org/web/packages/pksensi
Previous versions and publish date:
1.0.0 (2018-10-30 19:20), 1.0.1 (2019-01-29 19:00), 1.1.0 (2019-05-12 23:50), 1.1.1 (2019-05-29 23:10), 1.1.2 (2019-06-30 14:20), 1.1.3 (2019-08-20 07:30), 1.1.4 (2019-09-19 10:40), 1.1.5 (2020-02-05 18:50), 1.1.6 (2020-05-05 07:10), 1.1.7 (2020-05-08 15:10), 1.2.0 (2020-06-15 14:40), 1.2.1 (2021-06-18 23:50), 1.2.2 (2021-07-04 20:40)
Other packages that cited pksensi R package
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Other R packages that pksensi depends,
imports, suggests or enhances
Functions, R codes and Examples using
the pksensi R package
Some associated functions: APAP . about-pksensi . check . compile_model . mcsim . models . pksim . rfast99 . solve_fun . solve_mcsim . tell2 .
Some associated R codes: check.R . compile.R . data.R . install.R . models.R . package.R . pksim.R . rfast99.R . solve_fun.R . solve_mcsim.R . tell2.R . Full pksensi package functions and examples
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