SLOPE
Sorted L1 Penalized Estimation
Efficient implementations for Sorted L-One Penalized Estimation (SLOPE): generalized linear models regularized with the sorted L1-norm (Bogdan et al. 2015). Supported models include ordinary least-squares regression, binomial regression, multinomial regression, and Poisson regression. Both dense and sparse predictor matrices are supported. In addition, the package features predictor screening rules that enable fast and efficient solutions to high-dimensional problems.
- Version0.5.1
- R version≥ 3.5.0
- LicenseGPL-3
- Needs compilation?Yes
- Languageen-US
- SLOPE citation info
- Last release07/09/2024
Documentation
Team
Johan Larsson
Balasubramanian Narasimhan
Show author detailsRolesContributorMichal Burdukiewicz
Show author detailsRolesAuthorRob Tibshirani
Show author detailsRolesContributorTrevor Hastie
Show author detailsRolesContributorNoah Simon
Show author detailsRolesContributorJonas Wallin
Show author detailsRolesAuthorJerome Friedman
Show author detailsRolesContributorMalgorzata Bogdan
Show author detailsRolesAuthorEwout van den Berg
Show author detailsRolesAuthorChiara Sabatti
Show author detailsRolesAuthorEmmanuel Candes
Show author detailsRolesAuthorEvan Patterson
Show author detailsRolesAuthorWeijie Su
Show author detailsRolesAuthorJakub Kała
Show author detailsRolesAuthorKrystyna Grzesiak
Show author detailsRolesAuthorJunyang Qian
Show author detailsRolesContributorAkarsh Goyal
Show author detailsRolesContributor
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- Imports4 packages
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- Linking To2 packages
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