r-cran-glmnet binary package in Ubuntu Focal amd64
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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2020-01-18 22:08:15 UTC | Published | Ubuntu Focal amd64 | release | universe | gnu-r | Optional | 3.0-2-1 | ||
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Deleted | Ubuntu Focal amd64 | proposed | universe | gnu-r | Optional | 3.0-2-1 | |||
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2020-01-18 22:08:39 UTC | Superseded | Ubuntu Focal amd64 | release | universe | gnu-r | Optional | 3.0-1-1 | ||
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2020-01-20 00:10:10 UTC | Deleted | Ubuntu Focal amd64 | proposed | universe | gnu-r | Optional | 3.0-1-1 | ||
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2019-11-16 19:28:25 UTC | Superseded | Ubuntu Focal amd64 | release | universe | gnu-r | Optional | 3.0-1 | ||
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2019-11-18 00:10:10 UTC | Deleted | Ubuntu Focal amd64 | proposed | universe | gnu-r | Optional | 3.0-1 | ||
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2019-11-12 22:37:33 UTC | Superseded | Ubuntu Focal amd64 | release | universe | gnu-r | Optional | 2.0-18-1 | ||
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