Package: HDtweedie 1.2
Wei Qian
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.
Authors:
HDtweedie_1.2.tar.gz
HDtweedie_1.2.tar.gz(r-4.7-arm64)HDtweedie_1.2.tar.gz(r-4.7-x86_64)HDtweedie_1.2.tar.gz(r-4.6-arm64)HDtweedie_1.2.tar.gz(r-4.6-x86_64)
HDtweedie_1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
HDtweedie/json (API)
| # Install 'HDtweedie' in R: |
| install.packages('HDtweedie', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- auto - A motor insurance dataset
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:608a38f548. Checks:6 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 124 | ||
| linux-devel-x86_64 | OK | 134 | ||
| source / vignettes | OK | 159 | ||
| linux-release-arm64 | OK | 136 | ||
| linux-release-x86_64 | OK | 163 | ||
| wasm-release | OK | 97 |
Exports:coef.HDtweediecv.HDtweedieHDtweediepredict.HDtweedie
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| A motor insurance dataset | auto |
| get coefficients or make coefficient predictions from a "cv.HDtweedie" object. | coef.cv.HDtweedie |
| get coefficients or make coefficient predictions from an "HDtweedie" object. | coef.HDtweedie |
| Cross-validation for HDtweedie | cv.HDtweedie |
| Fits the regularization paths for lasso-type methods of the Tweedie model | HDtweedie |
| plot the cross-validation curve produced by cv.HDtweedie | plot.cv.HDtweedie |
| Plot solution paths from a "HDtweedie" object | plot.HDtweedie |
| make predictions from a "cv.HDtweedie" object. | predict.cv.HDtweedie |
| make predictions from a "HDtweedie" object. | predict.HDtweedie |
| print a HDtweedie object | print.HDtweedie |