A Boosted Tweedie Compound Poisson Model
Overview
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.
Install
Health
- OK13 OK2026-09-08
- ERROR12 OK, 1 ERROR2026-09-07
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-03-10
Documentation
- Help pages
- 8
- Examples that run
- 100%2 run in a plain check
- Exported functions with examples
- 14%
- Documented parameters
- not tracked
- Return-value docs
- not tracked
- Help pages citing references
- 75%
Downloads
Dependencies
Installing TDboost adds no packages beyond those that come with R.
Code & Tests
Datasets
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- unarchivedReturned to CRAN2025-03-25
- 1.6Latest
- archivedRemoved from CRAN2024-11-11issues were not corrected despite reminders
- RR 4.4.0 released · 2024-04-24
- unarchivedReturned to CRAN2024-01-18
- 1.52024-01-18 · diff ↗
- archivedRemoved from CRAN2024-01-12issues were not corrected despite reminders
- RR 4.3.0 released · 2023-04-21
- 1.42022-09-13 · diff ↗
- removedRemoved from CRAN2022-08-11misrepresentation of authorship and copyright ownership Back on CRAN on 2022-09-13
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- RR 3.6.0 released · 2019-04-26
Package metadata
- First published
- 2014-10-22
- Total releases
- 6 / 12 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 2.12.0
- Bundled data
- 12 KB / 1 file
- Download size
- 65 KB
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("TDboost")This package has no citation file, so citation() returns this entry built from DESCRIPTION.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.