| FileSize | 1777292 | 
                
                        
                
                
                  | MD5 | D6DAF84F324F3265D49A2842E01A8A7B | 
                
                        
                
                
                  | PackageDescription | Lasso and Elastic-Net Regularized Generalized Linear Models
 Extremely efficient procedures for fitting the entire lasso or elastic-net
 regularization path for linear regression, logistic and multinomial
 regression models, Poisson regression and the Cox model. Two recent
 additions are the multiple-response Gaussian, and the grouped multinomial.
 The algorithm uses cyclical coordinate descent in a path-wise fashion, as
 described in the paper Introduction to Glmnet. | 
                
                        
                
                
                  | PackageMaintainer | Debian R Packages Maintainers <r-pkg-team@alioth-lists.debian.net> | 
                
                        
                
                
                  | PackageName | r-cran-glmnet | 
                
                        
                
                
                  | PackageSection | gnu-r | 
                
                        
                
                
                  | PackageVersion | 4.1-2 | 
                
                        
                
			      | SHA-1 | BDF70762F0EB0B6C297DBFECF273FB21C5FB1FD4 | 
                
                
                        
                
                
                  | SHA-256 | AA5B861CD50CEFC3BE62FFE585569BCB7D74C0C5A3AE1AFB62C966F7233DE1C6 |