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.
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install.packages('ranger')
0.11.1
26 days ago
https://github.com/imbs-hl/ranger
Marvin N. Wright
GPL-3
R (>= 3.1)