groupRemMap
Regularized Multivariate Regression for Identifying Master Predictors Using the GroupRemMap Penalty
An implementation of the GroupRemMap penalty for fitting regularized multivariate response regression models under the high-dimension-low-sample-size setting. When the predictors naturally fall into groups, the GroupRemMap penalty encourages procedure to select groups of predictors, while control for the overall sparsity of the final model.
- Version0.1-0
- R versionunknown
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?Yes
- Last release04/09/2015
Team
Xianlong Wang
Li Qin
Hexin Zhang
Yuzheng Zhang
Li Hsu
Pei Wang
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