Package: RFlocalfdr 0.8.5

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'))

Peer review:

Datasets:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

3.11 score 13 scripts 148 downloads 18 exports 19 dependencies

Last updated 1 years agofrom:c4847f6b2d. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 08 2024
R-4.5-winNOTENov 08 2024
R-4.5-linuxNOTENov 08 2024
R-4.4-winNOTENov 08 2024
R-4.4-macNOTENov 08 2024
R-4.3-winNOTENov 08 2024
R-4.3-macNOTENov 08 2024

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

Dependencies:fitdistrpluslatticeMASSMatrixMatrixModelsminpack.lmmnormtnumDerivquantregrandomForestrangerRcppRcppEigenRFlocalfdr.datarlangsnSparseMsurvivalvita

RFlocalfdr Simulated Data Example

Rob Dunne

Rendered fromsimulated.Rmdusingknitr::rmarkdownon Nov 08 2024.

Last update: 2023-11-09
Started: 2023-11-09

Smoking data

Rob Dunne

Rendered fromSmoking.Rmdusingknitr::rmarkdownon Nov 08 2024.

Last update: 2023-11-09
Started: 2023-11-09