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Libra (version 1.7)

Linearized Bregman Algorithms for Generalized Linear Models

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.

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Version

Install

install.packages('Libra')

Monthly Downloads

362

Version

1.7

License

GPL-2

Maintainer

Jiechao Xiong

Last Published

April 11th, 2022

Functions in Libra (1.7)

ising

Linearized Bregman solver for composite conditionally likelihood of Ising model with lasso penalty.
isingdata

Simulation data for Ising model
diabetes

Blood and other measurements in diabetics
iss

ISS solver for linear model with lasso penalty
ggm

Linearized Bregman solver for composite conditionally likelihood of Gaussian Graphical model with lasso penalty.
lb

Linearized Bregman solver for linear, binomial, multinomial models with lasso, group lasso or column lasso penalty.
cv.lb

CV for lb
plot.lb

Plot method for lb objects
cv.iss

CV for ISS
potts

Linearized Bregman solver for composite conditionally likelihood of Potts model with lasso penalty and block-group penalty.
predict.lb

Predict method for lb objects
west10

Journey to the West, one of the Four Great Classical Novels of Chinese Literature by WU, Cheng'en.