| FileSize | 1809332 | 
                
                        
                
                
                  | MD5 | 07793E4A27D9ED2FF09BEFD737C9D207 | 
                
                        
                
                
                  | 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 | 6B706090536E321533ED8FF3957B4C575E0B4347 | 
                
                
                        
                
                
                  | SHA-256 | 99C4E5F57E03A1C8736D254998F9FC53E287849526D0FE625B24B69EE93BA2AC |