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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 421.6 kB | win-64/r-ranger-0.12.0-r36h796a38f_0.tar.bz2  5 years and 2 months ago 1085 main cf202003
conda 419.2 kB | win-64/r-ranger-0.12.0-r35h796a38f_0.tar.bz2  5 years and 2 months ago 1111 main cf202003
conda 379.6 kB | osx-64/r-ranger-0.12.0-r36hc5da6b9_0.tar.bz2  5 years and 2 months ago 337 main cf202003
conda 378.2 kB | osx-64/r-ranger-0.12.0-r35hc5da6b9_0.tar.bz2  5 years and 2 months ago 339 main cf202003
conda 410.0 kB | linux-64/r-ranger-0.12.0-r35h0357c0b_0.tar.bz2  5 years and 2 months ago 3349 main cf202003
conda 411.8 kB | linux-64/r-ranger-0.12.0-r36h0357c0b_0.tar.bz2  5 years and 2 months ago 3372 main cf202003

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