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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.

copied from cf-staging / r-ranger
Type Size Name Uploaded Downloads Labels
conda 437.0 kB | win-64/r-ranger-0.13.1-r40ha856d6a_0.tar.bz2  4 years and 29 days ago 799 main
conda 424.4 kB | win-64/r-ranger-0.13.1-r41ha856d6a_0.tar.bz2  4 years and 29 days ago 822 main
conda 393.5 kB | osx-64/r-ranger-0.13.1-r41h9951f98_0.tar.bz2  4 years and 29 days ago 245 main
conda 393.3 kB | osx-64/r-ranger-0.13.1-r40h9951f98_0.tar.bz2  4 years and 29 days ago 215 main
conda 429.4 kB | linux-64/r-ranger-0.13.1-r40h03ef668_0.tar.bz2  4 years and 29 days ago 4968 main
conda 429.5 kB | linux-64/r-ranger-0.13.1-r41h03ef668_0.tar.bz2  4 years and 29 days ago 4919 main

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