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 |
| Author: | Robert Dunne 
[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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