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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 |
| 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 |
| Reference manual: | HDtweedie.pdf |
| 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 depends: | personalized2part |
| Reverse suggests: | adaptMT |
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