FileSize | 1426652 |
MD5 | 474FE11B21DEFC08868C007ADE887FEF |
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 | 227E4606FD1F2DEBA47221E35E596C409B04CFCD |
SHA-256 | 5CFB05E5A69412AA780DC3464C922C4472C5DDD005812358DDD1F37F678427FB |