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Extremely efficient procedures for fitting the entire lasso or elastic-net regularization path for linear regression, logistic and multinomial regression models, Poisson regression and the Cox model. Two recent additions are the multiple-response Gaussian, and the grouped multinomial regression. The algorithm uses cyclical coordinate descent in a path-wise fashion, as described in the papers listed in the URL below.

copied from cf-staging / r-glmnet

Installers

Info: This package contains files in non-standard labels.
  • linux-64 v4.1_7
  • linux-aarch64 v4.1_7
  • osx-64 v4.1_7
  • osx-arm64 v4.1_7
  • win-64 v4.1_2
  • linux-ppc64le v4.1_7

conda install

To install this package run one of the following:
conda install conda-forge::r-glmnet
conda install conda-forge/label/cf201901::r-glmnet
conda install conda-forge/label/cf202003::r-glmnet
conda install conda-forge/label/gcc7::r-glmnet

Description


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