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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.
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Package details |
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| Author | Xianlong Wang <xwan2@fhcrc.org>, Li Qin, Hexin Zhang, Yuzheng Zhang, Li Hsu, Pei Wang <pei.wang@mssm.edu> |
| Maintainer | Xianlong Wang <xwan2@fhcrc.org> |
| License | GPL (>= 2) |
| Version | 0.1-0 |
| Package repository | View on CRAN |
| Installation |
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