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-4.5-noble)HDtweedie_1.2.tar.gz(r-4.4-noble)
HDtweedie_1.2.tgz(r-4.4-emscripten)HDtweedie_1.2.tgz(r-4.3-emscripten)
HDtweedie.pdf |HDtweedie.html✨
HDtweedie/json (API)
| # Install 'HDtweedie' in R: |
| install.packages('HDtweedie', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Datasets:
- 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 3 years agofrom:608a38f548. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Dec 19 2024 |
| R-4.5-linux-x86_64 | OK | Dec 19 2024 |
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 |