Package: RFlocalfdr 0.9

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>.

Authors:Robert Dunne [aut, cre]

RFlocalfdr_0.9.tar.gz
RFlocalfdr_0.9.zip(r-4.7)RFlocalfdr_0.9.zip(r-4.6)RFlocalfdr_0.9.zip(r-4.5)
RFlocalfdr_0.9.tgz(r-4.6-any)RFlocalfdr_0.9.tgz(r-4.5-any)
RFlocalfdr_0.9.tar.gz(r-4.7-any)RFlocalfdr_0.9.tar.gz(r-4.6-any)
RFlocalfdr_0.9.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
RFlocalfdr/json (API)

# Install 'RFlocalfdr' in R:
install.packages('RFlocalfdr', repos = c('https://parsifal9.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/parsifal9/rflocalfdr/issues

Datasets:

On CRAN:

Conda:

4.00 score 1 stars 6 scripts 179 downloads 18 exports 17 dependencies

Last updated from:04c5e1d7fa. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK137
source / vignettesOK180
linux-release-x86_64OK143
macos-release-arm64OK194
macos-oldrel-arm64OK173
windows-develOK126
windows-releaseOK119
windows-oldrelOK121
wasm-releaseOK102

Exports:count_variablesdetermine_cutoffdetermine.Cdsnf.fitfit.to.data.setfit.to.data.set.wrapperlocal.fdrmy_PIMPmy_ranger_PIMPmy.dsnmy.test1funplotQpropTrueNullByLocalFDRpsnqsnrun.it.importancessignificant.genes

Dependencies:fitdistrpluslatticeMASSMatrixMatrixModelsminpack.lmmnormtnumDerivquantregrandomForestrangerRcppRcppEigenrlangsnSparseMsurvival

RFlocalfdr A Simulated Data Example

Rob Dunne

Rendered fromsimulated.Rmdusingknitr::rmarkdownon May 12 2026.

Last update: 2025-01-30
Started: 2023-01-27

Smoking data

Rob Dunne

Rendered fromSmoking.Rmdusingknitr::rmarkdownon May 12 2026.

Last update: 2025-01-30
Started: 2023-01-25