Calculates first, and second order, average minimal depth of a maximal subtree for a forest object produced by the R 'ranger' package. This variable importance metric is implemented as described in Ishwaran et. al. ("High-Dimensional Variable Selection for Survival Data", March 2010, <doi:10.1198/jasa.2009.tm08622>).
| Version: | 0.0.1 |
| Depends: | R (≥ 3.3.2) |
| Imports: | ggplot2, grDevices, graphics |
| Suggests: | survival (≥ 2.38-1), ranger, knitr, rmarkdown, testthat, dplyr |
| Published: | 2016-11-19 |
| Author: | John Karlen [aut, cre] |
| Maintainer: | John Karlen <jkarlen at massmutual.com> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | no |
| Materials: | NEWS |
| CRAN checks: | climbeR results |
| Reference manual: | climbeR.pdf |
| Vignettes: |
climbeR_examples |
| Package source: | climbeR_0.0.1.tar.gz |
| Windows binaries: | r-devel: climbeR_0.0.1.zip, r-release: climbeR_0.0.1.zip, r-oldrel: climbeR_0.0.1.zip |
| OS X binaries: | r-release: climbeR_0.0.1.tgz, r-oldrel: climbeR_0.0.1.tgz |
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