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.

Version:	0.3
Depends:	R (≥ 3.2.2)
Published:	2016-03-10
DOI:	10.32614/CRAN.package.nnlasso
Author:	Baidya Nath Mandal and Jun Ma
Maintainer:	Baidya Nath Mandal <mandal.stat at gmail.com>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:	no
CRAN checks:	nnlasso results

Documentation:

Reference manual:

nnlasso.html , nnlasso.pdf

Downloads:

Package source:	nnlasso_0.3.tar.gz
Windows binaries:	r-devel: nnlasso_0.3.zip, r-release: nnlasso_0.3.zip, r-oldrel: nnlasso_0.3.zip
macOS binaries:	r-release (arm64): nnlasso_0.3.tgz, r-oldrel (arm64): nnlasso_0.3.tgz, r-release (x86_64): nnlasso_0.3.tgz, r-oldrel (x86_64): nnlasso_0.3.tgz
Old sources:	nnlasso archive

Reverse dependencies:

Reverse imports:

SparseSignatures

Linking:

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