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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curl https://depscope.dev/api/check/conda/r-rangerFirst published · 2021-05-24 03:33:18.052000+00:00
Last updated · 2026-01-18 11:19:58.378000+00:00