ranger v0.12.1
0
Monthly downloads
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') and 'dgCMatrix' (R package 'Matrix')
can be directly analyzed.
Functions in ranger
| Name | Description | |
| importance.ranger | ranger variable importance | |
| print.ranger | Print Ranger | |
| print.ranger.forest | Print Ranger forest | |
| timepoints.ranger.prediction | Ranger timepoints | |
| timepoints.ranger | Ranger timepoints | |
| predictions.ranger.prediction | Ranger predictions | |
| print.ranger.prediction | Print Ranger prediction | |
| ranger | Ranger | |
| holdoutRF | Hold-out random forests | |
| getTerminalNodeIDs | Get terminal node IDs (deprecated) | |
| predict.ranger.forest | Ranger prediction | |
| predictions.ranger | Ranger predictions | |
| importance_pvalues | ranger variable importance p-values | |
| csrf | Case-specific random forests. | |
| predict.ranger | Ranger prediction | |
| parse.formula | Parse formula | |
| treeInfo | Tree information in human readable format | |
| No Results! | ||
Last month downloads
Details
| Type | Package |
| Date | 2020-01-10 |
| License | GPL-3 |
| LinkingTo | Rcpp, RcppEigen |
| Encoding | UTF-8 |
| RoxygenNote | 7.0.2 |
| URL | https://github.com/imbs-hl/ranger |
| BugReports | https://github.com/imbs-hl/ranger/issues |
| NeedsCompilation | yes |
| Packaged | 2020-01-10 10:12:51 UTC; wright |
| Repository | CRAN |
| Date/Publication | 2020-01-10 17:50:05 UTC |
| imports | Matrix , Rcpp (>= 0.11.2) |
| depends | R (>= 3.1) |
| linkingto | RcppEigen |
| suggests | survival , testthat |
| Contributors | Stefan Wager, Marvin Wright, Philipp Probst |
Include our badge in your README
[](http://www.rdocumentation.org/packages/ranger)