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: 0.8.5
Depends: R (≥ 3.5.0)
Imports: minpack.lm, sn, fitdistrplus, grDevices, graphics, stats, ranger, randomForest, RFlocalfdr.data, vita
Suggests: rmarkdown, knitr, testthat (≥ 3.0.0)
Published: 2023-11-09
DOI: 10.32614/CRAN.package.RFlocalfdr
Author: Robert Dunne ORCID iD [aut, cre]
Maintainer: Robert Dunne <rob.dunne at csiro.au>
License: GPL (≥ 3)
NeedsCompilation: no
Materials: README
CRAN checks: RFlocalfdr results

Documentation:

Reference manual: RFlocalfdr.pdf
Vignettes: Smoking data
RFlocalfdr Simulated Data Example

Downloads:

Package source: RFlocalfdr_0.8.5.tar.gz
Windows binaries: r-devel: RFlocalfdr_0.8.5.zip, r-release: RFlocalfdr_0.8.5.zip, r-oldrel: RFlocalfdr_0.8.5.zip
macOS binaries: r-release (arm64): RFlocalfdr_0.8.5.tgz, r-oldrel (arm64): RFlocalfdr_0.8.5.tgz, r-release (x86_64): RFlocalfdr_0.8.5.tgz, r-oldrel (x86_64): RFlocalfdr_0.8.5.tgz

Linking:

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