varSelRF

Package: varSelRF
Version: 0.7-5
Date: 2014-12-14
Title: Variable Selection using Random Forests
Author: Ramon Diaz-Uriarte <rdiaz02@gmail.com>
Maintainer: Ramon Diaz-Uriarte <rdiaz02@gmail.com>
Depends: R (>= 2.0.0), randomForest, parallel
Description: 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).
LazyLoad: Yes
License: GPL (>= 2)
URL: http://ligarto.org/rdiaz/Software/Software.html
http://ligarto.org/rdiaz/Papers/rfVS/randomForestVarSel.html,
https://github.com/rdiaz02/varSelRF
Repository: CRAN
Date/Publication: 2014-12-14 12:13:58
Packaged: 2014-12-14 10:08:02.436 UTC; ramon
NeedsCompilation: no

Install log

* installing to library '/home/ddbj/local/lib64/R/library'
* installing *source* package 'varSelRF' ...
** package 'varSelRF' successfully unpacked and MD5 sums checked
** R
** preparing package for lazy loading
** help
*** installing help indices
  converting help for package 'varSelRF'
    finding HTML links ... done
    plot.varSelRF                           html  
    plot.varSelRFBoot                       html  
    randomVarImpsRF                         html  
    randomVarImpsRFplot                     html  
    selProbPlot                             html  
    summary.varSelRFBoot                    html  
    varSelImpSpecRF                         html  
    varSelRF                                html  
    varSelRFBoot                            html  
** building package indices
** testing if installed package can be loaded
* DONE (varSelRF)
Making 'packages.html' ... done