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Lasso and Elastic-Net Regularized Generalized Linear Models


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. The algorithm uses cyclical coordinate descent in a path-wise fashion, as described in the paper Introduction to Glmnet.

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1418 other people were interested in this package here. The newest known version of this software is 4.0-2-1 (Information last updated about 6 hours ago.)