groupRemMap

Regularized Multivariate Regression for Identifying Master Predictors Using the GroupRemMap Penalty

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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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