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Libra  

Linearized Bregman Algorithms for Generalized Linear Models
View on CRAN: Click here


Download and install Libra package within the R console
Install from CRAN:
install.packages("Libra")

Install from Github:
library("remotes")
install_github("cran/Libra")

Install by package version:
library("remotes")
install_version("Libra", "1.7")



Attach the package and use:
library("Libra")
Maintained by
Jiechao Xiong
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-10-20
Latest Update: 2022-04-11
Description:
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.
How to cite:
Jiechao Xiong (2015). Libra: Linearized Bregman Algorithms for Generalized Linear Models. R package version 1.7, https://cran.r-project.org/web/packages/Libra
Previous versions and publish date:
1.2 (2015-10-20 10:57), 1.3-2 (2015-11-09 17:15), 1.3 (2015-11-07 16:56), 1.4 (2015-11-18 18:34), 1.5 (2016-02-17 14:15), 1.6 (2018-06-09 21:48)
Other packages that cited Libra R package
View Libra citation profile
Other R packages that Libra depends, imports, suggests or enhances
Functions, R codes and Examples using the Libra R package
Some associated functions: cv.iss . cv.lb . diabetes . ggm . ising . isingdata . iss . lb . plot.lb . potts . predict.lb . west10 . 
Some associated R codes: cv.iss.R . cv.lb.R . ggm.R . ising.R . iss.R . lb.R . plot.lb.R . potts.R . predict.lb.R .  Full Libra package functions and examples
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