ranger: A Fast Implementation of Random Forests
A fast implementation of Random Forests, particularly suited for high
dimensional data. Ensembles of classification, regression, survival and
probability prediction trees are supported. Data from genome-wide
association studies can be analyzed efficiently. In addition to data
frames, datasets of class 'gwaa.data' (R package GenABEL) can be directly
analyzed.
Version: |
0.2.7 |
Depends: |
R (≥ 3.1) |
Imports: |
Rcpp (≥ 0.11.2) |
LinkingTo: |
Rcpp |
Suggests: |
survival |
Published: |
2015-07-29 |
Author: |
Marvin N. Wright |
Maintainer: |
Marvin N. Wright <wright at imbs.uni-luebeck.de> |
License: |
GPL-3 |
NeedsCompilation: |
yes |
CRAN checks: |
ranger results |
Downloads: