Linearized Bregman Algorithms for Generalized Linear Models R package Libra version 1.7 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. Software Depends: R (>= 3.0), nnls Suggests: lars, MASS, igraph Jiechao Xiong <xiongjiechao@pku.edu.cn> Comprehensive R Archive Network (CRAN) Feng Ruan, Jiechao Xiong and Yuan Yao GPL-2 2022-04-11 application/tgz https://CRAN.R-project.org/package=Libra doi:10.32614/CRAN.package.Libra