FileSize | 1801916 |
MD5 | 3302DC2AF988BD50D171112B1BF7381A |
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 | B89E84EB36581C861DEA21EE704122D8DDE1C17C |
SHA-256 | 42C96BE12DA81C761D805F3E753B0711EB576AE7BA0C8133F1A89DC7229E789B |