Package: varSelRF 0.7-9
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:
varSelRF_0.7-9.tar.gz
varSelRF_0.7-9.zip(r-4.7-any)varSelRF_0.7-9.zip(r-4.6-any)varSelRF_0.7-9.zip(r-4.5-any)
varSelRF_0.7-9.tgz(r-4.6-any)varSelRF_0.7-9.tgz(r-4.5-any)
varSelRF_0.7-9.tar.gz(r-4.7-any)varSelRF_0.7-9.tar.gz(r-4.6-any)
varSelRF_0.7-9.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
varSelRF/json (API)
| # Install 'varSelRF' in R: |
| install.packages('varSelRF', repos = c('https://rdiaz02.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/rdiaz02/varselrf/issues
Last updated from:b47ebd444e. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 114 | ||
| source / vignettes | OK | 141 | ||
| linux-release | OK | 122 | ||
| macos-release | OK | 161 | ||
| macos-oldrel | OK | 168 | ||
| windows-devel | OK | 64 | ||
| windows-release | OK | 65 | ||
| windows-oldrel | OK | 67 | ||
| wasm-release | OK | 73 |
Exports:randomVarImpsRFrandomVarImpsRFplotselProbPlotvarSelImpSpecRFvarSelRFvarSelRFBoot
Dependencies:randomForest
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Plot a varSelRF object | plot.varSelRF |
| plot a varSelRFBoot object | plot.varSelRFBoot |
| Variable importances from random forest on permuted class labels | randomVarImpsRF |
| Plot random random variable importances | randomVarImpsRFplot |
| Selection probability plot for variable importance from random forests | selProbPlot |
| Summary of a varSelRFBoot object | summary.varSelRFBoot |
| Variable selection using the "importance spectrum" | varSelImpSpecRF |
| Variable selection from random forests using OOB error | varSelRF |
| Bootstrap the variable selection procedure in varSelRF | varSelRFBoot |