Installation
About
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).
Citation | varSelRF citation info |
ligarto.org/rdiaz/Software/Software.html | |
ligarto.org/rdiaz/Papers/rfVS/randomForestVarSel.html | |
github.com/rdiaz02/varSelRF |
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