swMATH ID: 8253
Software Authors: Ramon Diaz-Uriarte
Description: R package 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). You can use rpvm instead of Rmpi if you want but I’ve only tested with Rmpi.
Homepage: http://cran.r-project.org/web/packages/varSelRF/index.html
Source Code:  https://github.com/cran/varSelRF
Dependencies: R
Related Software: R; GeneSrF; randomForest; Boruta; FSelector; mlbench; ipred; party; caret; CRAN; rpart; mogavs; GenAlgo; gaselect; mlr; RWeka; CORElearn; EFS; featurefinder; spFSR
Cited in: 2 Publications

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