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, ).

Documentation

Manual: climbeR.pdf
Vignette: climbeR_examples

Maintainer: John Karlen <jkarlen at massmutual.com>

Author(s): John Karlen*

Install package and any missing dependencies by running this line in your R console:

install.packages("climbeR")

Depends R (>= 3.3.2)
Imports ggplot2, grDevices, graphics
Suggests survival(>=2.38-1), ranger, knitr, rmarkdown, testthat, dplyr
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Package climbeR
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Version 0.0.1
Published 2016-11-19
License MIT + file LICENSE
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NeedsCompilation no
Citation
CRAN checks climbeR check results
Package source climbeR_0.0.1.tar.gz