| FileSize | 1820660 | 
                
                        
                
                
                  | MD5 | D925D09EE1BD36FD292ADE96FE596D20 | 
                
                        
                
                
                  | 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 | 4.1-2-1 | 
                
                        
                
			      | SHA-1 | 51EFA388BA795A1AB6ED154216A4606490486AA4 | 
                
                
                        
                
                
                  | SHA-256 | 33D35E6255A7E916CEDA20D3C6669931120645A766B5C612DB0FFC503CB954D5 |