Package: nnlasso
Type: Package
Title: Non-Negative Lasso and Elastic Net Penalized Generalized Linear
        Models
Version: 0.3
Date: 2016-03-09
Author: Baidya Nath Mandal <mandal.stat@gmail.com> and Jun Ma <jun.ma@mq.edu.au>
Maintainer: Baidya Nath Mandal <mandal.stat@gmail.com>
Depends: R (>= 3.2.2)
Description: Estimates of coefficients of lasso penalized linear regression and generalized linear models subject to non-negativity constraints on the parameters using multiplicative iterative algorithm. Entire regularization path for a sequence of lambda values can be obtained. Functions are available for creating plots of regularization path, cross validation and estimating coefficients at a given lambda value. There is also provision for obtaining standard error of coefficient estimates.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2016-03-10 05:10:00 UTC; Lenovo
Repository: CRAN
Date/Publication: 2016-03-10 08:00:33
Built: R 4.6.0; ; 2026-04-25 20:47:48 UTC; unix
