Package: varSelRF 0.7-8

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:Ramon Diaz-Uriarte <[email protected]>

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Peer review:

Bug tracker:https://github.com/rdiaz02/varselrf/issues

On CRAN:

6 exports 12 stars 5.12 score 1 dependencies 2 dependents 53 mentions 77 scripts 487 downloads

Last updated 7 years agofrom:b50430ff9e. Checks:OK: 1 NOTE: 6. Indexed: yes.

Exports:randomVarImpsRFrandomVarImpsRFplotselProbPlotvarSelImpSpecRFvarSelRFvarSelRFBoot

Dependencies:randomForest