nnlasso: Non-Negative Lasso and Elastic Net Penalized Generalized Linear Models

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.

Getting started

Package details

AuthorBaidya Nath Mandal <[email protected]> and Jun Ma <[email protected]>
MaintainerBaidya Nath Mandal <[email protected]>
LicenseGPL (>= 2)
Package repositoryView on CRAN
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nnlasso documentation built on May 29, 2017, 9:53 p.m.