randomForestExplainer: Explaining and Visualizing Random Forests in Terms of Variable Importance

A set of tools to help explain which variables are most important in a random forests. Various variable importance measures are calculated and visualized in different settings in order to get an idea on how their importance changes depending on our criteria (Hemant Ishwaran and Udaya B. Kogalur and Eiran Z. Gorodeski and Andy J. Minn and Michael S. Lauer (2010) <doi:10.1198/jasa.2009.tm08622>, Leo Breiman (2001) <doi:10.1023/A:1010933404324>).

Version: 0.10.1
Depends: R (≥ 3.0)
Imports: data.table (≥ 1.10.4), dplyr (≥ 0.7.1), DT (≥ 0.2), GGally (≥ 1.3.0), ggplot2 (≥ 2.2.1), ggrepel (≥ 0.6.5), randomForest (≥ 4.6.12), ranger (≥ 0.9.0), reshape2 (≥ 1.4.2), rmarkdown (≥ 1.5)
Suggests: knitr, MASS (≥ 7.3.47), testthat
Published: 2020-07-11
DOI: 10.32614/CRAN.package.randomForestExplainer
Author: Aleksandra Paluszynska [aut], Przemyslaw Biecek [aut, ths], Yue Jiang ORCID iD [aut, cre]
Maintainer: Yue Jiang <rivehill at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL]
URL: https://github.com/ModelOriented/randomForestExplainer
NeedsCompilation: no
Materials: README NEWS
CRAN checks: randomForestExplainer results


Reference manual: randomForestExplainer.pdf
Vignettes: Understanding random forests with randomForestExplainer


Package source: randomForestExplainer_0.10.1.tar.gz
Windows binaries: r-devel: randomForestExplainer_0.10.1.zip, r-release: randomForestExplainer_0.10.1.zip, r-oldrel: randomForestExplainer_0.10.1.zip
macOS binaries: r-release (arm64): randomForestExplainer_0.10.1.tgz, r-oldrel (arm64): randomForestExplainer_0.10.1.tgz, r-release (x86_64): randomForestExplainer_0.10.1.tgz, r-oldrel (x86_64): randomForestExplainer_0.10.1.tgz
Old sources: randomForestExplainer archive

Reverse dependencies:

Reverse suggests: sits


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