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elasso: Enhanced Least Absolute Shrinkage and Selection Operator Regression Model

Performs some enhanced variable selection algorithms based on the least absolute shrinkage and selection operator for regression model.

Version: 1.1
Depends: R (≥ 3.0.2), glmnet, SiZer, datasets
Published: 2015-10-06
Author: Pi Guo
Maintainer: Pi Guo <guopi.01 at 163.com>
License: GPL-2
NeedsCompilation: no
CRAN checks: elasso results

Documentation:

Reference manual: elasso.pdf

Downloads:

Package source: elasso_1.1.tar.gz
Windows binaries: r-devel: elasso_1.1.zip, r-release: elasso_1.1.zip, r-oldrel: elasso_1.1.zip
macOS binaries: r-release (arm64): elasso_1.1.tgz, r-oldrel (arm64): elasso_1.1.tgz, r-release (x86_64): elasso_1.1.tgz, r-oldrel (x86_64): elasso_1.1.tgz
Old sources: elasso archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.