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]

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RFlocalfdr.pdf |RFlocalfdr.html✨
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:

4.72 score 1 stars 13 scripts 272 downloads 18 exports 17 dependencies

Last updated 1 months agofrom:04c5e1d7fa. Checks:8 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 02 2025
R-4.5-winOKMar 02 2025
R-4.5-macOKMar 02 2025
R-4.5-linuxOKMar 02 2025
R-4.4-winOKMar 02 2025
R-4.4-macOKMar 02 2025
R-4.3-winOKMar 02 2025
R-4.3-macOKMar 02 2025

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 Mar 02 2025.

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

Smoking data

Rob Dunne

Rendered fromSmoking.Rmdusingknitr::rmarkdownon Mar 02 2025.

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