l0ara (0.1.5)

0 users

Sparse Generalized Linear Model with L0 Approximation for Feature Selection.


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 over 2 years ago.

2 previous versions



  (0 votes)


  (0 votes)

Log in to vote.


No one has written a review of l0ara yet. Want to be the first? Write one now.

Related packages:(20 best matches, based on common tags.)

Search for l0ara on google, google scholar, r-help, r-devel.

Visit l0ara on R Graphical Manual.