Efficient algorithms for fitting the regularization path of linear regression, GLM, and Cox regression models with grouped penalties. This includes group selection methods such as group lasso, group MCP, and group SCAD as well as bi-level selection methods such as the group exponential lasso, the composite MCP, and the group bridge.

Installers

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

conda install

  • linux-64  v3.2_1
  • osx-64  v3.2_1
  • win-64  v3.2_1
To install this package with conda run one of the following:
conda install -c conda-forge r-grpreg
conda install -c conda-forge/label/gcc7 r-grpreg
conda install -c conda-forge/label/cf201901 r-grpreg

Description

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