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Coefficient estimation and model prediction based on the LASSO sparse learning algorithm and its improved versions such as Bolasso, bootstrap ranking LASSO, two-stage hybrid LASSO and others. These LASSO estimation procedures are applied in the fields of variable selection, graphical modeling and ensemble learning. The bagging LASSO model uses a Monte Carlo cross-entropy algorithm to determine the best base-level models and improve predictive performance.
Package details |
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Author | Pi Guo, Yuantao Hao |
Maintainer | Pi Guo <guopi.01@163.com> |
License | GPL-2 |
Version | 1.0-2 |
URL | https://www.researchgate.net/profile/Pi_Guo3 |
Package repository | View on CRAN |
Installation |
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