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RFlocalfdr: Significance Level for Random Forest Impurity Importance Scores

Sets a significance level for Random Forest MDI (Mean Decrease in Impurity, Gini or sum of squares) variable importance scores, using an empirical Bayes approach. See Dunne et al. (2022) <doi:10.1101/2022.04.06.487300>.

Version:0.9
Depends:R (≥ 3.5.0)
Imports:minpack.lm,sn,fitdistrplus, grDevices, graphics, stats,ranger,randomForest
Suggests:rmarkdown,knitr,testthat (≥ 3.0.0),RFlocalfdr.data,vita
Published:2025-01-30
DOI:10.32614/CRAN.package.RFlocalfdr
Author:Robert DunneORCID iD [aut, cre]
Maintainer:Robert Dunne <rob.dunne at csiro.au>
License:GPL (≥ 3)
NeedsCompilation:no
Materials:README,NEWS
CRAN checks:RFlocalfdr results

Documentation:

Reference manual:RFlocalfdr.html ,RFlocalfdr.pdf
Vignettes:Smoking data (source,R code)
RFlocalfdr Simulated Data Example (source,R code)

Downloads:

Package source: RFlocalfdr_0.9.tar.gz
Windows binaries: r-devel:RFlocalfdr_0.9.zip, r-release:RFlocalfdr_0.9.zip, r-oldrel:RFlocalfdr_0.9.zip
macOS binaries: r-release (arm64):RFlocalfdr_0.9.tgz, r-oldrel (arm64):RFlocalfdr_0.9.tgz, r-release (x86_64):RFlocalfdr_0.9.tgz, r-oldrel (x86_64):RFlocalfdr_0.9.tgz
Old sources: RFlocalfdr archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=RFlocalfdrto link to this page.


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