sparsegl
Sparse Group Lasso
Efficient implementation of sparse group lasso with optional bound constraints on the coefficients; see doi:10.18637/jss.v110.i06. It supports the use of a sparse design matrix as well as returning coefficient estimates in a sparse matrix. Furthermore, it correctly calculates the degrees of freedom to allow for information criteria rather than cross-validation with very large data. Finally, the interface to compiled code avoids unnecessary copies and allows for the use of long integers.
- Version1.1.1
- R versionunknown
- LicenseMIT
- LicenseLICENSE
- Needs compilation?Yes
- sparsegl citation info
- Last release08/24/2024
Documentation
Team
Daniel J. McDonald
Balasubramanian Narasimhan
Show author detailsRolesContributorRob Tibshirani
Show author detailsRolesContributorTrevor Hastie
Show author detailsRolesContributorYi Yang
Show author detailsRolesContributorNoah Simon
Show author detailsRolesContributorKenneth Tay
Show author detailsRolesContributorHui Zou
Show author detailsRolesContributorJames Yang
Jerome Friedman
Show author detailsRolesContributorJunyang Qian
Show author detailsRolesContributorXiaoxuan Liang
Show author detailsRolesAuthorAnibal Solón Heinsfeld
Show author detailsRolesAuthorAaron Cohen
Show author detailsRolesAuthor
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- Imports8 packages
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- Reverse Depends1 package