varSelRF 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 Cited by 4 Authors 1 Li, Na 1 Rossini, A. J. 1 Siroky, David S. 1 Tierney, Luke Cited in 2 Serials 1 International Journal of Parallel Programming 1 Statistics Surveys Cited in 3 Fields 1 Statistics (62-XX) 1 Numerical analysis (65-XX) 1 Computer science (68-XX) Citations by Year