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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 |
Maintainer: | Robert Dunne <rob.dunne at csiro.au> |
License: | GPL (≥ 3) |
NeedsCompilation: | no |
Materials: | README |
CRAN checks: | RFlocalfdr results |
Reference manual: | RFlocalfdr.pdf |
Vignettes: |
Smoking data RFlocalfdr Simulated Data Example |
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 |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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