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.

Getting started

Package details

AuthorPi Guo, Yuantao Hao
MaintainerPi Guo <[email protected]>
LicenseGPL-2
Version1.0-2
URL https://www.researchgate.net/profile/Pi_Guo3
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("SparseLearner")

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SparseLearner documentation built on May 29, 2017, 9:18 p.m.