Package: varSelRF 0.7-8

varSelRF: Variable Selection using Random Forests

Variable selection from random forests using both backwards variable elimination (for the selection of small sets of non-redundant variables) and selection based on the importance spectrum (somewhat similar to scree plots; for the selection of large, potentially highly-correlated variables). Main applications in high-dimensional data (e.g., microarray data, and other genomics and proteomics applications).

Authors:Ramon Diaz-Uriarte <[email protected]>

varSelRF_0.7-8.tar.gz
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varSelRF_0.7-8.tgz(r-4.4-any)varSelRF_0.7-8.tgz(r-4.3-any)
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varSelRF.pdf |varSelRF.html
varSelRF/json (API)

# Install 'varSelRF' in R:
install.packages('varSelRF', repos = c('https://rdiaz02.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/rdiaz02/varselrf/issues

On CRAN:

6.48 score 12 stars 2 packages 83 scripts 538 downloads 53 mentions 6 exports 1 dependencies

Last updated 8 years agofrom:b50430ff9e. Checks:1 OK, 6 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKJan 02 2025
R-4.5-winNOTEJan 02 2025
R-4.5-linuxNOTEJan 02 2025
R-4.4-winNOTEJan 02 2025
R-4.4-macNOTEJan 02 2025
R-4.3-winNOTEJan 02 2025
R-4.3-macNOTEJan 02 2025

Exports:randomVarImpsRFrandomVarImpsRFplotselProbPlotvarSelImpSpecRFvarSelRFvarSelRFBoot

Dependencies:randomForest