varSelRF (0.7-3)
Variable selection using random forests.
http://ligarto.org/rdiaz/Software/Software.html
http://cran.r-project.org/web/packages/varSelRF
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.
Maintainer:
Ramon Diaz-Uriarte
Author(s): Ramon Diaz-Uriarte <rdiaz02@gmail.com>
License: GPL (>= 2)
Uses: randomForest, snow
Enhances: Rmpi
Released over 2 years ago.
4 previous versions
- varSelRF_0.7-2. Released almost 3 years ago.
- varSelRF_0.7-1. Released about 4 years ago.
- varSelRF_0.6-5. Released about 5 years ago.
- varSelRF_0.6-3. Released over 6 years ago.
Ratings
Overall: |
|
Documentation: |
|
Log in to vote.
Reviews
No one has written a review of varSelRF yet. Want to be the first? Write one now.
Related packages: elasticnet, caret, GAMBoost, rgenoud, ChemometricsWithRData, ALS, AnalyzeFMRI, Bchron, bvls, CellularAutomaton, caMassClass, chemCal, chemometrics, clustvarsel, ddesolve, deSolve, diffractometry, drm, fastICA, fmri … (20 best matches, based on common tags.)
Search for varSelRF on google, google scholar, r-help, r-devel.
Visit varSelRF on R Graphical Manual.
