| FileSize | 1414504 | 
                
                        
                
                
                  | MD5 | 2703BB99AB1BCEA12E294DAB11525361 | 
                
                        
                
                
                  | 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 | 2.0-16-2 | 
                
                        
                
			      | SHA-1 | F48337B216BEA047464899B81854BD5A7E4DBBBE | 
                
                
                        
                
                
                  | SHA-256 | BACF395B54C4BD745DA9CA49C2F15C9A1E42E72E7CBF4D692655AFEB4E150CD0 |