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CRAN: Package RFlocalfdr

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

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