Package: nnlasso
Type: Package
Title: Non-Negative Lasso and Elastic Net Penalized Generalized Linear
        Models
Version: 0.2
Date: 2015-04-10
Author: B N Mandal <mandal.stat@gmail.com> and Jun Ma <jun.ma@mq.edu.au>
Maintainer: B N Mandal <mandal.stat@gmail.com>
Depends: R (>= 3.1.3)
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)
Packaged: 2015-04-10 05:00:37 UTC; Lenovo
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2015-04-10 10:51:21
