CRAN/E | nnlasso

nnlasso

Non-Negative Lasso and Elastic Net Penalized Generalized Linear Models

Installation

About

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.

Key Metrics

Version 0.3
R ≥ 3.2.2
Published 2016-03-10 3132 days ago
Needs compilation? no
License GPL-2
License GPL-3
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Maintainer

Maintainer

Baidya Nath Mandal

Authors

Baidya Nath Mandal
Jun Ma

Material

Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

nnlasso archive

Depends

R ≥ 3.2.2

Reverse Imports

SparseSignatures