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TDboost  

A Boosted Tweedie Compound Poisson Model
View on CRAN: Click here


Download and install TDboost package within the R console
Install from CRAN:
install.packages("TDboost")

Install from Github:
library("remotes")
install_github("cran/TDboost")

Install by package version:
library("remotes")
install_version("TDboost", "1.5")



Attach the package and use:
library("TDboost")
Maintained by
Yi Yang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-09-13
Latest Update: 2024-01-18
Description:
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.
How to cite:
Yi Yang (2022). TDboost: A Boosted Tweedie Compound Poisson Model. R package version 1.5, https://cran.r-project.org/web/packages/TDboost. Accessed 10 Jan. 2025.
Previous versions and publish date:
1.4 (2022-09-13 12:00), 1.5 (2024-01-18 11:00)
Other packages that cited TDboost R package
View TDboost citation profile
Other R packages that TDboost depends, imports, suggests or enhances
Complete documentation for TDboost
Functions, R codes and Examples using the TDboost R package
Some associated functions: FHT . TDboost . TDboostject . TDboost.perf . plot.TDboost . predict.TDboost . relative.influence . summary.TDboost . 
Some associated R codes: TDboost.R .  Full TDboost package functions and examples
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