r-cran-glmnet binary package in Ubuntu Kinetic riscv64
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.
Publishing history
| Date | Status | Target | Component | Section | Priority | Phased updates | Version | ||
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| 2022-05-07 21:33:35 UTC | Published | Ubuntu Kinetic riscv64 | release | universe | gnu-r | Optional | 4.1-4-1 | ||
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| Deleted | Ubuntu Kinetic riscv64 | proposed | universe | gnu-r | Optional | 4.1-4-1 | |||
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| 2022-05-07 21:34:29 UTC | Superseded | Ubuntu Kinetic riscv64 | release | universe | gnu-r | Optional | 4.1-3-1 | ||
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