SparseLearner: Sparse Learning Algorithms Using a LASSO-Type Penalty for Coefficient Estimation and Model Prediction

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.

Install the latest version of this package by entering the following in R:
install.packages("SparseLearner")
AuthorPi Guo, Yuantao Hao
Date of publication2015-11-17 14:40:37
MaintainerPi Guo <guopi.01@163.com>
LicenseGPL-2
Version1.0-2
https://www.researchgate.net/profile/Pi_Guo3

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