Package: pRF 1.2

pRF: Permutation Significance for Random Forests

Estimate False Discovery Rates (FDRs) for importance metrics from random forest runs.

Authors:Ankur Chakravarthy

pRF_1.2.tar.gz
pRF_1.2.zip(r-4.7-any)pRF_1.2.zip(r-4.6-any)pRF_1.2.zip(r-4.5-any)
pRF_1.2.tgz(r-4.6-any)pRF_1.2.tgz(r-4.5-any)
pRF_1.2.tar.gz(r-4.7-any)pRF_1.2.tar.gz(r-4.6-any)
pRF_1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
pRF/json (API)

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

On CRAN:

Conda:

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

2.00 score 1 scripts 266 downloads 13 mentions 2 exports 39 dependencies

Last updated from:0b45e3b7c9. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK141
source / vignettesOK186
linux-releaseOK137
macos-releaseOK154
macos-oldrelOK120
windows-develOK106
windows-releaseOK100
windows-oldrelOK74
wasm-releaseOK84

Exports:pRFsigplot

Dependencies:BiobaseBiocGenericsclicpp11dplyrfarvergenericsggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmulttestpermutepillarpkgconfigplyrR6randomForestRColorBrewerRcppreshape2rlangS7scalesstringistringrsurvivaltibbletidyselectutf8vctrsviridisLitewithr