elasticnet: Elastic-Net for Sparse Estimation and Sparse PCA. This package provides functions for fitting the entire solution path of the Elastic-Net and also provides functions for estimating sparse Principal Components. The Lasso solution paths can be computed by the same function. First version: 2005-10.
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References in zbMATH (referenced in 4 articles )
Showing results 1 to 4 of 4.
- Shi, Jianhong; Song, Weixing: Sparse principal component analysis with measurement errors (2016)
- Shah, Jasmit; Datta, Somnath; Datta, Susmita: A multi-loss super regression learner (MSRL) with application to survival prediction using proteomics (2014)
- Kuhn, Max; Johnson, Kjell: Applied predictive modeling (2013)
- Schifano, Elizabeth D.; Strawderman, Robert L.; Wells, Martin T.: Majorization-minimization algorithms for nonsmoothly penalized objective functions (2010)