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: 2026-06-07 09:14:04 UTC; root
Repository: https://doer0.r-universe.dev
Date/Publication: 2016-03-10 08:00:33 UTC
RemoteUrl: https://github.com/cran/nnlasso
RemoteRef: HEAD
RemoteSha: 601e3cf0cc85683c8cee9d5d7a907f3512143803