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TDboost

1.6Package record

A Boosted Tweedie Compound Poisson Model

0packages depend
3.2Kdownloads / year
–test coverage
13/13flavors OK

Overview

About
Maintained by Yi YangCRAN page ↗

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

CRAN checks
13OK
Slowest check: 2.7 min · r-devel-windows-x86_64
Status changes
  • OK13 OK2026-09-08
  • ERROR12 OK, 1 ERROR2026-09-07
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 1.6
READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
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

3.2K
CRAN downloads in the past year
Rank #15,928 · ~9/day · ~270/mo
Daily download trend is not available in this view yet.
27630 days
78490 days
3.2K1 year
Compare downloads with other packages →
Also on373 r2u1 autocran3.5K conda_forge

Dependencies

Declared dependencies
0 external dependencies (excludes base and recommended)

Installing TDboost adds no packages beyond those that come with R.

Depends (2)
R >= 2.12.0lattice
Imports (0)
none
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (4)
Author, Maintainer since 1.0 (2013)
http://www.math.mcgill.ca/yyang/
Author
https://sites.google.com/a/udel.edu/weiqian/
Author
http://users.stat.umn.edu/~zouxx019/
Contributor, Copyright holder · added in 1.4
Releases (6)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • unarchivedReturned to CRAN
    2025-03-25
  • 1.6Latest
    record
    2025-03-25 · current release · diff ↗
  • archivedRemoved from CRAN
    2024-11-11
    issues were not corrected despite reminders
  • R
    R 4.4.0 released · 2024-04-24
  • unarchivedReturned to CRAN
    2024-01-18
  • 1.5
    record
    2024-01-18 · diff ↗
  • archivedRemoved from CRAN
    2024-01-12
    issues were not corrected despite reminders
  • R
    R 4.3.0 released · 2023-04-21
  • 1.4
    record
    2022-09-13 · diff ↗
  • removedRemoved from CRAN
    2022-08-11
    misrepresentation of authorship and copyright ownership Back on CRAN on 2022-09-13
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • R
    R 3.6.0 released · 2019-04-26
Show 8 earlier eventsHide 8 earlier events
  • R
    R 3.5.0 released · 2018-04-23
  • R
    R 3.4.0 released · 2017-04-21
  • R
    R 3.3.0 released · 2016-05-03
  • 1.2
    record
    2016-03-30 · diff ↗
  • R
    R 3.2.0 released · 2015-04-16
  • 1.1
    record
    2015-03-15 · diff ↗
  • 1.0
    record
    2014-10-22
  • R
    R 3.1.0 released · 2014-04-10

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")
Yang, Y., Qian, W., Ridgeway, G., & Zou, H. (2025). TDboost: A Boosted Tweedie Compound Poisson Model (Version 1.6) [Computer software]. https://doi.org/10.32614/CRAN.package.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.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for TDboost version 1.6 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

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.

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