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ggRandomForests: Visually Exploring Random Forests

Graphic elements for exploring Random Forests using the 'randomForest' or 'randomForestSRC' package for survival, regression and classification forests and 'ggplot2' package plotting.

Version: 2.2.1
Depends: R (≥ 3.5.0), randomForestSRC (≥ 1.5.5), randomForest
Imports: survival, parallel, tidyr, ggplot2
Suggests: testthat, rmdformats, bookdown, RColorBrewer, MASS, dplyr, knitr, rmarkdown, plot3D, lintr, datasets
Published: 2022-09-01
Author: John Ehrlinger
Maintainer: John Ehrlinger <john.ehrlinger at gmail.com>
BugReports: https://github.com/ehrlinger/ggRandomForests/issues
License: GPL (≥ 3)
URL: https://github.com/ehrlinger/ggRandomForests
NeedsCompilation: no
Language: en-US
Citation: ggRandomForests citation info
Materials: README NEWS
CRAN checks: ggRandomForests results

Documentation:

Reference manual: ggRandomForests.pdf
Vignettes: ggRandomForests: Exploring randomForestSRC Regression

Downloads:

Package source: ggRandomForests_2.2.1.tar.gz
Windows binaries: r-devel: ggRandomForests_2.2.1.zip, r-release: ggRandomForests_2.2.1.zip, r-oldrel: ggRandomForests_2.2.1.zip
macOS binaries: r-release (arm64): ggRandomForests_2.2.1.tgz, r-oldrel (arm64): ggRandomForests_2.2.1.tgz, r-release (x86_64): ggRandomForests_2.2.1.tgz, r-oldrel (x86_64): ggRandomForests_2.2.1.tgz
Old sources: ggRandomForests archive

Linking:

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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.
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