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rPBK
View on CRAN: Click
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Download and install rPBK package within the R console
Install from CRAN:
install.packages("rPBK")
Install from Github:
library("remotes")
install_github("cran/rPBK")
Install by package version:
library("remotes")
install_version("rPBK", "0.2.4")
Attach the package and use:
library("rPBK")
Maintained by
Virgile Baudrot
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-09-01
Latest Update: 2023-03-15
Description:
Fit and simulate any kind of physiologically-based kinetic ('PBK') models whatever the number of compartments. Moreover, it allows to account for any link between pairs of compartments, as well as any link of each of the compartments with the external medium. Such generic PBK models have today applications in pharmacology (PBPK models) to describe drug effects, in toxicology and ecotoxicology (PBTK models) to describe chemical substance effects. In case of exposure to a parent compound (drug or chemical) the 'rPBK' package allows to consider metabolites, whatever their number and their phase (I, II, ...). Last but not least, package 'rPBK' can also be used for dynamic flux balance analysis (dFBA) to deal with metabolic networks. See also Charles et al. (2022) <doi:10.1101/2022.04.29.490045>.
How to cite:
Virgile Baudrot (2022). rPBK: Inference and Prediction of Generic Physiologically-Based Kinetic Models. R package version 0.2.4, https://cran.r-project.org/web/packages/rPBK
Previous versions and publish date:
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Other R packages that rPBK depends,
imports, suggests or enhances
Functions, R codes and Examples using
the rPBK R package
Some associated functions: PPC . dataCompartment4 . dataMaleGammarusSingle . dataPBK . df_quant95_ . export_interpolate . fitPBK . fitPBK_C4 . plot.fitPBK . rPBK-package .
Some associated R codes: data.R . dataPBK.R . fitPBK.R . globals.R . plotFIT.R . plotPPC.R . predictPBK.R . rPBK-package.R . stanmodels.R . Full rPBK package functions and examples
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