Package: l0ara
Type: Package
Title: Sparse Generalized Linear Model with L0 Approximation for
        Feature Selection
Version: 0.1.3
Date: 2016-08-04
Author: Wenchuan Guo, Zhenqiu Liu, Fengzhu Sun, Dermot P McGovern, Sandra
    Orsulic
Maintainer: Wenchuan Guo <wguo007@ucr.edu>
Description: 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.
License: GPL-2
Imports: Rcpp (>= 0.12.6)
LinkingTo: Rcpp, RcppArmadillo
LazyData: TRUE
RoxygenNote: 5.0.1
NeedsCompilation: yes
Packaged: 2016-08-05 04:16:06 UTC; Wenchuan
Repository: CRAN
Date/Publication: 2016-08-05 11:53:20
