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 <firstname.lastname@example.org>|
cv.iss: CV for ISS
cv.lb: CV for lb
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isingdata: Simulation data for Ising model
iss: ISS solver for linear model with lasso penalty
lb: Linearized Bregman solver for linear, binomial, multinomial...
plot.lb: Plot method for lb objects
potts: Linearized Bregman solver for composite conditionally...
predict.lb: Predict method for lb objects
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