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.

Installers

Info: This package contains files in non-standard labels.

conda install

  • linux-64  v0.11.2
  • osx-64  v0.11.2
  • win-64  v0.11.2
To install this package with conda run one of the following:
conda install -c conda-forge r-ranger
conda install -c conda-forge/label/gcc7 r-ranger
conda install -c conda-forge/label/cf201901 r-ranger

Description

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