FileSize | 1816124 |
MD5 | 8F82F0B43E7B3D6D2E8D1999FF431900 |
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 | C63C7AB4D2D4CF579D28C096AF375E4A0CDA5EE8 |
SHA-256 | 04FE41B8B533A6FFD84BFCB82062582BD03C9316BAF4F0E2584BBD8B701589C1 |