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invitroTKdata

Welcome to the GitHub repository for the invitroTKdata package

The invitroTKdata R package contains a collection of datasets containing a variety of in vitro toxicokinetic measurements including – but not limited to – chemical fraction unbound in the presence of plasma ($f_{up}$), intrinsic hepatic clearance ($Cl_{int}$), and membrane permeability for oral absorption (Caco2). The datasets provided by the package were processed and analyzed with the companion invitroTKstats package

Notification: Datasets within this package have all been processed with various prototype versions of the invitroTKstats R package. We refer users to the invitroTKstats R package and invitrotkstats_dataproc GitHub pages to obtain the latest version of the package and original raw data/processing scripts, respectively.

If you are interested in contributing or want to report a bug, please submit an issue or start a discussion.

Installation

  • Installing the current version of the package from GitHub, run the following command:
devtools::install_github("https://github.com/USEPA/invitroTKdata")
  • Installing a local clone of the GitHub repo:

    1. Go to the GitHub repo for invitroTKdata.
    2. Choose the “Code” button and copy the repo URL.
    3. In your local command line terminal, navigate to the directory location you wish to store your local copy of the repo.
    4. In your terminal type git clone https://github.com/USEPA/invitroTKdata.
    5. After cloning completes then open an R session.
    6. In the R console use the following commands:
devtools::install_local(
  "<file_path_to_invitroTKdata_repo>/invitroTKdata"
)
  • Installing a tarball version of the package:

    1. Save the tarball file “invitroTKdata_X.Y.Z.tar.gz” to a local directory location.
    2. Install the package via the RStudio provided ‘Install Packages’ menu under the ‘Tools’ tab, or using the command line terminal with the following:
R CMD INSTALL <file_path_to_invitroTKdata_tarball>/invitroTKdata_X.Y.Z.tar.gz

NOTE: “X.Y.Z” in the tarball filename indicates the version number associated with the version of the package you wish to install.

Loading the Package

To load the invitroTKdata data R package into your local R session via the R console:

library(invitroTKdata)

Check the package version installed and in use:

packageVersion("invitroTKdata")

Contributors

  • Sarah E. Davidson-Fritz (Conceptualization & Lead Package Developer)
  • John Wambaugh (Conceptualization, Data Processing, & Subject Matter Expert)
  • Lindsay Knupp (Software Development)
  • Barbara A. Wetmore (Raw Data Generation & Subject Matter Expert)
  • Anna Kreutz (Raw Data Generation)
  • Marci Smeltz (Raw Data Generation)
  • David Crizer (Raw Data Generation)

Disclaimer

The United States Environmental Protection Agency (EPA) GitHub project code is provided on an “as is” basis and the user assumes responsibility for its use. EPA has relinquished control of the information and no longer has responsibility to protect the integrity, confidentiality, or availability of the information. Any reference to specific commercial products, processes, or services by service mark, trademark, manufacturer, or otherwise, does not constitute or imply their endorsement, recommendation or favoring by EPA. The EPA seal and logo shall not be used in any manner to imply endorsement of any commercial product or activity by EPA or the United States Government.

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Version

Install

install.packages('invitroTKdata')

Monthly Downloads

116

Version

0.0.1

License

MIT + file LICENSE

Issues

Pull Requests

Stars

Forks

Maintainer

Sarah Davidson-Fritz

Last Published

August 19th, 2025

Functions in invitroTKdata (0.0.1)

wambaugh2019.clint

wambaugh2019assessing;textualinvitroTKdata Intrinsic Hepatic Clearance Level-2 Data Set
wambaugh2019.red.L4

wambaugh2019assessing;textualinvitroTKdata Rapid Equilibrium Dialysis Level-4 Data Set
wambaugh2019.red

wambaugh2019assessing;textualinvitroTKdata Rapid Equilibrium Dialysis Level-2 Data Set
wambaugh2019.red.L3

wambaugh2019assessing;textualinvitroTKdata Rapid Equilibrium Dialysis Level-3 Data Set
kreutz2023.clint.L4

kreutz2023category;textualinvitroTKdata Intrinsic Hepatic Clearance Level-4 Data Set
crizer2024.clint

crizer2024vitro;textualinvitroTKdata Intrinsic Hepatic Clearance Level-2 Data Set
kreutz2023.uc.L3

kreutz2023category;textualinvitroTKdata Ultracentrifugation Level-3 Data Set
crizer2024.clint.L4

crizer2024vitro;textualinvitroTKdata Intrinsic Hepatic Clearance Level-4 Data Set
smeltz2023.red.L4

smeltz2023plasma;textualinvitroTKdata Rapid Equilibrium Dialysis Level-4 Data Set
crizer2024.clint.L3

crizer2024vitro;textualinvitroTKdata Intrinsic Hepatic Clearance Level-3 Data Set
smeltz2023.uc.L3

smeltz2023plasma;textualinvitroTKdata Ultracentrifugation Level-3 Data Set
smeltz2023.clint.L4

smeltz2023plasma;textualinvitroTKdata Intrinsic Hepatic Clearance Level-4 Data Set
smeltz2023.red

smeltz2023plasma;textualinvitroTKdata Rapid Equilibrium Dialysis Level-2 Data Set
kreutz2023.clint.L3

kreutz2023category;textualinvitroTKdata Intrinsic Hepatic Clearance Level-3 Data Set
smeltz2023.clint.L3

smeltz2023plasma;textualinvitroTKdata Intrinsic Hepatic Clearance Level-3 Data Set
kreutz2023.uc.L4

kreutz2023category;textualinvitroTKdata Ultracentrifugation Level-4 Data Set
smeltz2023.uc

smeltz2023plasma;textualinvitroTKdata Ultracentrifugation Level-2 Data Set
kreutz2023.uc

kreutz2023category;textualinvitroTKdata Ultracentrifugation Level-2 Data Set
smeltz2023.uc.L4

smeltz2023plasma;textualinvitroTKdata Ultracentrifugation Level-4 Data Set
wambaugh2019.clint.L3

wambaugh2019assessing;textualinvitroTKdata Intrinsic Hepatic Clearance Level-3 Data Set
wambaugh2019.clint.L4

wambaugh2019assessing;textualinvitroTKdata Intrinsic Hepatic Clearance Level-4 Data Set
smeltz2023.clint

smeltz2023plasma;textualinvitroTKdata Intrinsic Hepatic Clearance Level-2 Data Set
smeltz2023.red.L3

smeltz2023plasma;textualinvitroTKdata Rapid Equilibrium Dialysis Level-3 Data Set
kreutz2023.clint

kreutz2023category;textualinvitroTKdata Intrinsic Hepatic Clearance Level-2 Data Set