l0ara: Sparse Generalized Linear Model with L0 Approximation for Feature Selection
Version 0.1.3

An efficient procedure for feature selection for generalized linear models with L0 penalty, including linear, logistic, Poisson, gamma, inverse Gaussian regression. Adaptive ridge algorithms are used to fit the models.

Getting started

Package details

AuthorWenchuan Guo, Zhenqiu Liu, Fengzhu Sun, Dermot P McGovern, Sandra Orsulic
Date of publication2016-08-05 11:53:20
MaintainerWenchuan Guo <wguo007@ucr.edu>
Package repositoryView on CRAN
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l0ara documentation built on May 30, 2017, 6:56 a.m.