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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.

Versions across snapshots

VersionRepositoryFileSize
1.6 rolling linux/jammy R-4.5 TDboost_1.6.tar.gz 123.6 KiB
1.6 rolling linux/noble R-4.5 TDboost_1.6.tar.gz 123.7 KiB
1.6 rolling source/ R- TDboost_1.6.tar.gz 65.2 KiB
1.6 latest linux/jammy R-4.5 TDboost_1.6.tar.gz 123.6 KiB
1.6 latest linux/noble R-4.5 TDboost_1.6.tar.gz 123.7 KiB
1.6 latest source/ R- TDboost_1.6.tar.gz 65.2 KiB
1.6 2026-04-26 source/ R- TDboost_1.6.tar.gz 65.2 KiB
1.6 2026-04-23 source/ R- TDboost_1.6.tar.gz 65.2 KiB
1.6 2026-04-09 windows/windows R-4.5 TDboost_1.6.zip 189.1 KiB
1.6 2025-04-20 source/ R- TDboost_1.6.tar.gz 65.2 KiB

Dependencies (latest)

Depends