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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 419.6 kB | win-64/r-ranger-0.12.1-r35h796a38f_0.tar.bz2  5 years and 7 months ago 1138 main cf202003
conda 421.6 kB | win-64/r-ranger-0.12.1-r36h796a38f_0.tar.bz2  5 years and 7 months ago 1170 main cf202003
conda 379.7 kB | osx-64/r-ranger-0.12.1-r36hc5da6b9_0.tar.bz2  5 years and 7 months ago 370 main cf202003
conda 378.2 kB | osx-64/r-ranger-0.12.1-r35hc5da6b9_0.tar.bz2  5 years and 7 months ago 371 main cf202003
conda 410.0 kB | linux-64/r-ranger-0.12.1-r35h0357c0b_0.tar.bz2  5 years and 7 months ago 4205 main cf202003
conda 411.9 kB | linux-64/r-ranger-0.12.1-r36h0357c0b_0.tar.bz2  5 years and 7 months ago 3929 main cf202003

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