SparseLearner (1.0-2)

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

https://www.researchgate.net/profile/Pi_Guo3
http://cran.r-project.org/web/packages/SparseLearner

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.

Maintainer: Pi Guo
Author(s): Pi Guo, Yuantao Hao

License: GPL-2

Uses: glmnet, lqa, mlbench, qgraph, RankAggreg, SIS, SiZer

Released about 4 years ago.


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