FileSize | 1784572 |
MD5 | 865BE0E276B721CCAB6ECAE06D652A39 |
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 | 2B9D5C7977E69C0375FBEBECC1A9D377E1048D47 |
SHA-256 | 827BE2B261B783CDF483E6B488512B1D3A9EDB35B73D592624E5C9EC94FF3547 |