gglasso
Group Lasso Penalized Learning Using a Unified BMD Algorithm
A unified algorithm, blockwise-majorization-descent (BMD), for efficiently computing the solution paths of the group-lasso penalized least squares, logistic regression, Huberized SVM and squared SVM. The package is an implementation of Yang, Y. and Zou, H. (2015) DOI: doi:10.1007/s11222-014-9498-5.
- Version1.5.1
- R versionunknown
- LicenseGPL-2
- Needs compilation?Yes
- Last release03/24/2024
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Team
Yi Yang
Sahir Bhatnagar
Show author detailsRolesAuthorHui Zou
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