ToxicR: Analyzing Toxicology Dose-Response Data

Toxicology routines for analyzing dose-response data include dose-response analysis and trend tests. Dose-Response methods are based upon the US EPA's benchmark dose software 3. Methods have been extended to include additional functionality based on World Health Organization guidelines. It further supports the European Food Safety Authority's draft guidance on model averaging. The dose-response methods and datasets used in this package are described in Wheeler et al. (2019) <doi:10.1111/risa.13218>, Wheeler et al. (2020) <doi:10.1111/risa.13537>, and Wheeler et al. (2022) <doi:10.1002/env.2728>. NTP routines are described in Bailer and Portier (1988) <doi:10.2307/2531856>, Bieler and Williams (1993) <doi:10.2307/2532200>, Williams (1971) <doi:10.2307/2528930>, and Shirley (1977) <doi:10.2307/2529789>.

Version: 22.5.1
Depends: R (≥ 4.1.0)
Imports: Rcpp (≥ 1.0.0), ggplot2 (≥ 3.3.2), shiny (≥ 1.5.0), coda (≥ 0.19-4), scales (≥ 1.1.1), tidyverse (≥ 1.3.0), forcats, ggridges (≥ 0.5.3), doBy (≥ 4.6.11), multcomp (≥ 1.4), dplyr (≥ 1.0.7)
LinkingTo: Rcpp, RcppEigen, RcppGSL
Suggests: rmarkdown, actuar (≥ 3.2-0), ggpubr (≥ 0.4.0), testthat (≥ 3.1.0), gridExtra (≥ 2.3), VIM (≥ 6.1.1), knitr (≥ 1.36), modules, plotly (≥ 4.9.2.1)
Published: 2022-06-09
Author: Matt Wheeler ORCID iD [aut, cre], Sooyeong Lim [aut], Eric Wimberly [ctb], Keith Shockley [com], Jennifer Fostel [com], Lonlong Yang [ctb] (Modfied Cochran-Armitage test.), Dawan Taley [com], Cari Martini [com], Ashwin Raghuraman [ctb] (Modified code for (Jonckheere, Williams etc.) to make them standalone functions.), Steven Johnson [ctb] (Author of NLOPT.), Aymeric Stamm [ctb] (Maintainer of nloptr Packag 2.0.1 from which all compile scripts were taken.), Dirk Eddelbuettel [ctb] (Contributed script to download GSL, as in RcppGSL.), U.S. Deptartment of Health and Human Services [cph] (Owns Copyright for all ToxicR code outside NLOPT and nloptr scripts.)
Maintainer: Matt Wheeler <matt.wheeler at nih.gov>
License: LGPL (≥ 3)
Copyright: file inst/COPYRIGHTS
ToxicR copyright details
URL: https://github.com/NIEHS/ToxicR
NeedsCompilation: yes
Materials: README
CRAN checks: ToxicR results

Documentation:

Reference manual: ToxicR.pdf
Vignettes: ToxicR: Continuous Analysis

Downloads:

Package source: ToxicR_22.5.1.tar.gz
Windows binaries: r-devel: ToxicR_22.5.1.zip, r-release: ToxicR_22.5.1.zip, r-oldrel: ToxicR_22.5.1.zip
macOS binaries: r-release (arm64): ToxicR_22.5.1.tgz, r-oldrel (arm64): ToxicR_22.5.1.tgz, r-release (x86_64): ToxicR_22.5.1.tgz, r-oldrel (x86_64): ToxicR_22.5.1.tgz
Old sources: ToxicR archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=ToxicR to link to this page.