Libra: Linearized Bregman Algorithms for Generalized Linear Models

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.

Version: 1.7
Depends: R (≥ 3.0), nnls
Suggests: lars, MASS, igraph
Published: 2022-04-11
DOI: 10.32614/CRAN.package.Libra
Author: Feng Ruan, Jiechao Xiong and Yuan Yao
Maintainer: Jiechao Xiong <xiongjiechao at>
License: GPL-2
NeedsCompilation: yes
SystemRequirements: GNU Scientific Library (GSL)
CRAN checks: Libra results


Reference manual: Libra.pdf


Package source: Libra_1.7.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): Libra_1.7.tgz, r-oldrel (arm64): Libra_1.7.tgz, r-release (x86_64): Libra_1.7.tgz, r-oldrel (x86_64): Libra_1.7.tgz
Old sources: Libra archive


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