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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') and 'dgCMatrix' (R package 'Matrix') can be directly analyzed.
Getting started
Browse package contents
Package details |
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| Author | Marvin N. Wright [aut, cre], Stefan Wager [ctb], Philipp Probst [ctb] |
| Maintainer | Marvin N. Wright <cran@wrig.de> |
| License | GPL-3 |
| Version | 0.16.0 |
| URL | http://imbs-hl.github.io/ranger/ https://github.com/imbs-hl/ranger |
| Package repository | View on CRAN |
| Installation |
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