Package: TDboost 1.5
TDboost: A Boosted Tweedie Compound Poisson Model
An implementation of a boosted Tweedie compound Poisson model proposed by Yang, Y., Qian, W. and Zou, H. (2018) <doi:10.1080/07350015.2016.1200981>. It is capable of fitting a flexible nonlinear Tweedie compound Poisson model (or a gamma model) and capturing high-order interactions among predictors. This package is based on the 'gbm' package originally developed by Greg Ridgeway.
Authors:
TDboost_1.5.tar.gz
TDboost_1.5.zip(r-4.5)TDboost_1.5.zip(r-4.4)TDboost_1.5.zip(r-4.3)
TDboost_1.5.tgz(r-4.4-x86_64)TDboost_1.5.tgz(r-4.4-arm64)TDboost_1.5.tgz(r-4.3-x86_64)TDboost_1.5.tgz(r-4.3-arm64)
TDboost_1.5.tar.gz(r-4.5-noble)TDboost_1.5.tar.gz(r-4.4-noble)
TDboost_1.5.tgz(r-4.4-emscripten)TDboost_1.5.tgz(r-4.3-emscripten)
TDboost.pdf |TDboost.html✨
TDboost/json (API)
| # Install 'TDboost' in R: |
| install.packages('TDboost', repos = c('https://archer-yang-lab.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 10 months agofrom:b10f11568b. Checks:OK: 9. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 14 2024 |
| R-4.5-win-x86_64 | OK | Oct 15 2024 |
| R-4.5-linux-x86_64 | OK | Oct 15 2024 |
| R-4.4-win-x86_64 | OK | Nov 14 2024 |
| R-4.4-mac-x86_64 | OK | Nov 14 2024 |
| R-4.4-mac-aarch64 | OK | Nov 14 2024 |
| R-4.3-win-x86_64 | OK | Nov 14 2024 |
| R-4.3-mac-x86_64 | OK | Nov 14 2024 |
| R-4.3-mac-aarch64 | OK | Nov 14 2024 |
Exports:permutation.test.TDboostplot.TDboostpredict.TDboostrelative.influencesummary.TDboostTDboostTDboost.fitTDboost.lossTDboost.moreTDboost.perf
Dependencies:lattice
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Simulation data generated based from the FHT model used in Yang, Y., Qian, W. and Zou, H. (2013). | data1 data2 FHT |
| Marginal plots of fitted TDboost objects | plot.TDboost |
| Predict method for TDboost Model Fits | predict.TDboost |
| Methods for estimating relative influence | permutation.test.TDboost relative.influence TDboost.loss |
| Summary of a TDboost object | summary.TDboost |
| TDboost Tweedie Regression Modeling | TDboost TDboost.fit TDboost.more |
| TDboost Tweedie Regression Model Object | TDboost.object |
| TDboost performance | TDboost.perf |
