r-cran-glmnet binary package in Ubuntu Lunar 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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| 2022-12-03 09:59:22 UTC | Published | Ubuntu Lunar riscv64 | release | universe | gnu-r | Optional | 4.1-6-1 | ||
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| Deleted | Ubuntu Lunar riscv64 | proposed | universe | gnu-r | Optional | 4.1-6-1 | |||
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| 2022-12-03 09:59:51 UTC | Superseded | Ubuntu Lunar riscv64 | release | universe | gnu-r | Optional | 4.1-4-1 | ||
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