DLASSO: Implementation of Adaptive or Non-Adaptive Differentiable Lasso and SCAD Penalties in Linear Models

An implementation of the differentiable lasso (dlasso) and SCAD (dSCAD) using iterative ridge algorithm. This package allows selecting the tuning parameter by AIC, BIC, GIC and GIC.

Version:	2.0.2
Depends:	R (≥ 2.0)
Imports:	MASS
Published:	2017-06-08
Author:	Hamed Haseli Mashhadi
Maintainer:	Hamed Haseli Mashhadi <hamedhaseli at gmail.com>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL:	http://hamedhaseli.webs.com
NeedsCompilation:	no
CRAN checks:	DLASSO results

Documentation:

Reference manual:

DLASSO.pdf

Downloads:

Package source:	DLASSO_2.0.2.tar.gz
Windows binaries:	r-prerel: DLASSO_2.0.2.zip, r-release: DLASSO_2.0.2.zip, r-oldrel: DLASSO_2.0.2.zip
macOS binaries:	r-prerel (arm64): DLASSO_2.0.2.tgz, r-release (arm64): DLASSO_2.0.2.tgz, r-oldrel (arm64): DLASSO_2.0.2.tgz, r-prerel (x86_64): DLASSO_2.0.2.tgz, r-release (x86_64): DLASSO_2.0.2.tgz
Old sources:	DLASSO archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=DLASSO to link to this page.