| FileSize | 1782212 | 
                
                        
                
                
                  | MD5 | C05E459AD1EDED67CCD956813A503529 | 
                
                        
                
                
                  | 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 | E765A9A49734B2F8DD57DE91B7358214C6772B20 | 
                
                
                        
                
                
                  | SHA-256 | 7996C19E83A43A818DD0D6489B12BC243D358F82D3AED92451B4392DC2E17B7D |