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RFlocalfdr: Significance Level for Random Forest Impurity Importance Scores (original) (raw)

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 Dunne ORCID iD [aut, cre]
Maintainer: Robert Dunne <rob.dunne at csiro.au>
License: GPL (≥ 3)
NeedsCompilation: no
Materials: README,
CRAN checks: RFlocalfdr results

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