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).

Author
Ramon Diaz-Uriarte <rdiaz02@gmail.com>
Date of publication
2014-12-14 12:13:58
Maintainer
Ramon Diaz-Uriarte <rdiaz02@gmail.com>
License
GPL (>= 2)
Version
0.7-5
URLs

View on CRAN

Man pages

plot.varSelRF
Plot a varSelRF object
plot.varSelRFBoot
plot a varSelRFBoot object
randomVarImpsRF
Variable importances from random forest on permuted class...
randomVarImpsRFplot
Plot random random variable importances
selProbPlot
Selection probability plot for variable importance from...
summary.varSelRFBoot
Summary of a varSelRFBoot object
varSelImpSpecRF
Variable selection using the "importance spectrum"
varSelRF
Variable selection from random forests using OOB error
varSelRFBoot
Bootstrap the variable selection procedure in varSelRF

Files in this package

varSelRF
varSelRF/NAMESPACE
varSelRF/R
varSelRF/R/varSelRF.R
varSelRF/README.md
varSelRF/MD5
varSelRF/DESCRIPTION
varSelRF/Changes
varSelRF/man
varSelRF/man/varSelRF.Rd
varSelRF/man/varSelImpSpecRF.Rd
varSelRF/man/selProbPlot.Rd
varSelRF/man/summary.varSelRFBoot.Rd
varSelRF/man/varSelRFBoot.Rd
varSelRF/man/randomVarImpsRF.Rd
varSelRF/man/plot.varSelRFBoot.Rd
varSelRF/man/randomVarImpsRFplot.Rd
varSelRF/man/plot.varSelRF.Rd