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: