ToxCast Data Analysis Pipeline
Overview
The ToxCast Data Analysis Pipeline ('tcpl') is an R package that manages, curve-fits, plots, and stores ToxCast data to populate its linked MySQL database, 'invitrodb'. The package was developed for the chemical screening data curated by the US EPA's Toxicity Forecaster (ToxCast) program, but 'tcpl' can be used to support diverse chemical screening efforts.
Minor improvements and fixes
- Update ctxR and API host server connection for invitrodb v4.2 access (#374)
From NEWS.md in the release
Install
Health
ERRORre-building of vignette outputsr-release-macos-arm64
Error(s) in re-building vignettes: --- re-building ‘Introduction_Appendices.Rmd’ using rmarkdown Error: processing vignette 'Introduction_Appendices.Rmd' failed with diagnostics: pandoc document conversion failed with error 2 --- failed re-building ‘Introduction_Appendices.Rmd’ SUMMARY: processing the following file failed: ‘Introduction_Appendices.Rmd’ Error: Vignette re-building failed. Execution halted * checking PDF version of manual ...* using check arguments '--no-clean-on-error '
NOTERd contentsr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Rd files without \usage: ‘mc5.Rd’ \arguments should not be documented without \usage.
- ERROR10 OK, 2 NOTE, 1 ERRORNow
- ERROR11 OK, 1 ERROR2026-04-27
- OK14 OK2026-03-10
Documentation
- Help pages
- 101
- Examples that run
- 21%6 run in a plain check · 22 never run
- Exported functions with examples
- 68%
- Documented parameters
- 98%
- Return-value docs
- 53%
- Help pages citing references
- 0%
Downloads
Repository
- PRs merged (all time)
- 93%
- Median days to close, 50 most recently updated closed issues
- 26
- Median days to close, 50 most recently updated closed PRs
- 2
Stars over time
Forks over time
Releases over time
Issues over time
PRs over time
7 development-tooling and community-health practices detected across 6 families in the upstream repository
Checks run against github.com/usepa/comptox-toxcast-tcpl on 2026-10-11.
The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel
Show all practicesHide 2 practices
Dependencies
Installing tcpl adds 97 packages (50 with compiled code, 89 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.
Code & Tests
Datasets
People & History
Show 8 more contributorsHide 8 contributors
Previously maintained by Jason Brown (3.0.0 to 3.2.0) and Richard S Judson (2.0.0 to 2.1.0).
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- 3.3.1Latest
- 3.3.02025-05-05 · diff ↗
- RR 4.5.0 released · 2025-04-11
- 3.2.12025-04-09 · diff ↗
- 3.2.02024-10-09 · diff ↗ ·
removed 2 exports
tcplConfExample, tcplLoadClibadded 5 exports
tcplLoadChemList, tcplLoadConcUnit, tcplLoadUnit, tcplPlotLoadData, tcplQueryAPI - RR 4.4.0 released · 2024-04-24
- 3.1.0
- RR 4.3.0 released · 2023-04-21
- 3.0.12022-11-08 · diff ↗
- 3.0.02022-08-31 · diff ↗
- RR 4.2.0 released · 2022-04-22
- 2.1.0
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- 2.0.22019-07-26 · diff ↗
Show 9 earlier eventsHide 9 earlier events
- RR 3.6.0 released · 2019-04-26
- 2.0.12018-11-16 · diff ↗
- 2.0.02018-11-10 · diff ↗ ·
added 7 exports
tcplConfExample, tcplGetAeid, tcplLvlCount, tcplMakeAeidMultiPlts, tcplMakeChidMultiPlts, tcplMultiplot, tcpldbStats - 1.4.32018-05-20 · diff ↗
- 1.2.22018-05-10 · diff ↗
- RR 3.5.0 released · 2018-04-23
- RR 3.4.0 released · 2017-04-21
- 1.22016-05-07
- RR 3.3.0 released · 2016-05-03
Package metadata
- First published
- 2016-05-07
- Total releases
- 14 / 10 yrs
- License
- MIT + file LICENSE OSI · relicensed from GPL-2 in 3.0.0
- Minimum R
- ≥ 4.1.0
- Bundled data
- 131 KB / 10 files
- Download size
- 2.6 MB
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("tcpl")This package has no citation file, so citation() returns this entry built from DESCRIPTION.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-19, which the citation names so these numbers can be found later. More on citing and the projects behind them.