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HDtweedie: The Lasso for Tweedie's Compound Poisson Model Using an IRLS-BMD Algorithm

The Tweedie lasso model implements an iteratively reweighed least square (IRLS) strategy that incorporates a blockwise majorization decent (BMD) method, for efficiently computing solution paths of the (grouped) lasso and the (grouped) elastic net methods.

Version: 1.2
Imports: methods
Published: 2022-05-10
DOI: 10.32614/CRAN.package.HDtweedie
Author: Wei Qian, Yi Yang, Hui Zou
Maintainer: Wei Qian <weiqian at stat.umn.edu>
License: GPL-2
NeedsCompilation: yes
Materials: ChangeLog
CRAN checks: HDtweedie results

Documentation:

Reference manual: HDtweedie.pdf

Downloads:

Package source: HDtweedie_1.2.tar.gz
Windows binaries: r-devel: HDtweedie_1.2.zip, r-release: HDtweedie_1.2.zip, r-oldrel: HDtweedie_1.2.zip
macOS binaries: r-release (arm64): HDtweedie_1.2.tgz, r-oldrel (arm64): HDtweedie_1.2.tgz, r-release (x86_64): HDtweedie_1.2.tgz, r-oldrel (x86_64): HDtweedie_1.2.tgz
Old sources: HDtweedie archive

Reverse dependencies:

Reverse depends: personalized2part
Reverse suggests: adaptMT

Linking:

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

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.