Efficient procedures for fitting the regularization path for linear, binomial, multinomial, Ising and Potts models with lasso, group lasso or column lasso(only for multinomial) penalty. The package uses Linearized Bregman Algorithm to solve the regularization path through iterations. Bregman Inverse Scale Space Differential Inclusion solver is also provided for linear model with lasso penalty.
|Author||Feng Ruan, Jiechao Xiong and Yuan Yao|
|Date of publication||2016-02-17 14:15:16|
|Maintainer||Jiechao Xiong <[email protected]>|
|Package repository||View on CRAN|
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