The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

ggRandomForests: Visually Exploring Random Forests

Graphic elements for exploring Random Forests using 'randomForestSRC' and 'randomForest' for survival, regression, and classification forests, and 'varPro' for rule-based variable priority. Suggests 'randomForestRHF' for hazards with time-dependent covariates. Implements visualizations of the methods described in Breiman (2001) <doi:10.1023/A:1010933404324>, Ishwaran, Kogalur, Blackstone, and Lauer (2008) <doi:10.1214/08-AOAS169>, Lu and Ishwaran (2024) <doi:10.48550/arXiv.2409.09003>, and Ishwaran, Hsich, Kogalur, and Lee (2026) <doi:10.48550/arXiv.2608.21597>.

Version: 4.0.0
Depends: R (≥ 4.3.0)
Imports: randomForestSRC (≥ 3.4.0), randomForest, varPro (≥ 3.3.0), igraph, survival, tidyr, dplyr, ggplot2, patchwork, stringr
Suggests: bookdown, callr, covr, datasets, ggraph, kernelshap, knitr, lintr, magick, MASS, pkgdown, pkgload, quarto, ragg, randomForestRHF (≥ 2.0.3), RColorBrewer, rmarkdown, testthat, vdiffr, withr
Published: 2026-11-03
DOI: 10.32614/CRAN.package.ggRandomForests
Author: John Ehrlinger ORCID iD [aut, cre, cph]
Maintainer: John Ehrlinger <john.ehrlinger at gmail.com>
BugReports: https://github.com/ehrlinger/ggRandomForests/issues
License: MIT + file LICENSE
URL: https://github.com/ehrlinger/ggRandomForests, https://ehrlinger.github.io/ggRandomForests/
NeedsCompilation: no
SystemRequirements: Quarto command line tool (<https://github.com/quarto-dev/quarto-cli>)
Language: en-US
Citation: ggRandomForests citation info
Materials: README, NEWS
CRAN checks: ggRandomForests results

Documentation:

Reference manual: ggRandomForests.html , ggRandomForests.pdf
Vignettes: Explaining a forest: five views of a variable's effect (source, R code)
Random Forest Classification with ggRandomForests (source, R code)
Random Forest Regression with ggRandomForests (source, R code)
Random Forest Survival Analysis with ggRandomForests (source, R code)
Exploring Random Forests with ggRandomForests (source, R code)
Random Hazard Forests with ggRandomForests (source, R code)
Variable selection without an outcome: unsupervised varPro (source, R code)
varPro on small or sparse data (source, R code)
Exploring variable importance with varPro (source, R code)

Downloads:

Package source: ggRandomForests_4.0.0.tar.gz
Windows binaries: r-devel: ggRandomForests_3.5.5.zip, r-release: ggRandomForests_4.0.0.zip, r-oldrel: ggRandomForests_4.0.0.zip
macOS binaries: r-release (arm64): ggRandomForests_4.0.0.tgz, r-oldrel (arm64): ggRandomForests_4.0.0.tgz, r-release (x86_64): ggRandomForests_4.0.0.tgz, r-oldrel (x86_64): ggRandomForests_4.0.0.tgz
Old sources: ggRandomForests archive

Linking:

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

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.