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: 1.4
Depends: R (≥ 2.12.0), lattice
Published: 2022-09-13
Author: Yi Yang [aut, cre] (, Hui Zou [aut] (, Wei Qian [aut] (, Greg Ridgeway [ctb, cph]
Maintainer: Yi Yang <yi.yang6 at>
License: GPL-3
NeedsCompilation: yes
Materials: ChangeLog
CRAN checks: TDboost results


Reference manual: TDboost.pdf


Package source: TDboost_1.4.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): TDboost_1.4.tgz, r-oldrel (arm64): TDboost_1.4.tgz, r-release (x86_64): TDboost_1.4.tgz, r-oldrel (x86_64): TDboost_1.4.tgz


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