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.

Version:	1.6
Depends:	R (≥ 2.12.0), lattice
Published:	2025-03-25
DOI:	10.32614/CRAN.package.TDboost
Author:	Yi Yang [aut, cre] (http://www.math.mcgill.ca/yyang/), Hui Zou [aut] (http://users.stat.umn.edu/~zouxx019/), Wei Qian [aut] (https://sites.google.com/a/udel.edu/weiqian/), Greg Ridgeway [ctb, cph]
Maintainer:	Yi Yang <yi.yang6 at mcgill.ca>
License:	GPL-3
NeedsCompilation:	yes
Materials:	ChangeLog
CRAN checks:	TDboost results

Documentation:

Reference manual:

TDboost.html , TDboost.pdf

Downloads:

Package source:	TDboost_1.6.tar.gz
Windows binaries:	r-devel: TDboost_1.6.zip, r-release: TDboost_1.6.zip, r-oldrel: TDboost_1.6.zip
macOS binaries:	r-release (arm64): TDboost_1.6.tgz, r-oldrel (arm64): TDboost_1.6.tgz, r-release (x86_64): TDboost_1.6.tgz, r-oldrel (x86_64): TDboost_1.6.tgz
Old sources:	TDboost archive

Linking:

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