l0ara (0.1.5)

Sparse Generalized Linear Model with L0 Approximation for Feature Selection.

http://cran.r-project.org/web/packages/l0ara

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.

Maintainer: Wenchuan Guo
Author(s): Wenchuan Guo, Shujie Ma, Zhenqiu Liu

License: GPL-2

Uses: Rcpp

Released almost 2 years ago.