This package contains many extremely efficient procedures in order to fit the entire Lasso or ElasticNet regularization path for linear regression, logistic and multinomial regression models, Poisson regression, and the Cox model. Multiple response Gaussian and grouped multinomial regression are the two recent additions.
In the following table you will see listed some of the information on this package:
|
Package |
glmnet |
|
Date |
September 21, 2017 |
|
Version |
2.0-13 |
|
Title |
Lasso and Elastic-Net Regularized Generalized Linear Models |
|
Author |
Jerome Friedman, Trevor Hastie, Noah Simon, Junyang Qian, and Rob Tibshirani |
The following are the most useful functions used in regression ...
