Package: TDboost 1.6
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.
Authors:
TDboost_1.6.tar.gz
TDboost_1.6.zip(r-4.7)TDboost_1.6.zip(r-4.6)TDboost_1.6.zip(r-4.5)
TDboost_1.6.tgz(r-4.6-x86_64)TDboost_1.6.tgz(r-4.6-arm64)TDboost_1.6.tgz(r-4.5-x86_64)TDboost_1.6.tgz(r-4.5-arm64)
TDboost_1.6.tar.gz(r-4.7-arm64)TDboost_1.6.tar.gz(r-4.7-x86_64)TDboost_1.6.tar.gz(r-4.6-arm64)TDboost_1.6.tar.gz(r-4.6-x86_64)
TDboost_1.6.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
TDboost/json (API)
| # Install 'TDboost' in R: |
| install.packages('TDboost', repos = c('https://archer-yang-lab.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:c948b47712. Checks:13 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 101 | ||
| linux-devel-x86_64 | OK | 108 | ||
| source / vignettes | OK | 181 | ||
| linux-release-arm64 | OK | 115 | ||
| linux-release-x86_64 | OK | 102 | ||
| macos-release-arm64 | OK | 81 | ||
| macos-release-x86_64 | OK | 155 | ||
| macos-oldrel-arm64 | OK | 88 | ||
| macos-oldrel-x86_64 | OK | 213 | ||
| windows-devel | OK | 84 | ||
| windows-release | OK | 128 | ||
| windows-oldrel | OK | 116 | ||
| wasm-release | OK | 107 |
Exports:permutation.test.TDboostplot.TDboostpredict.TDboostrelative.influencesummary.TDboostTDboostTDboost.fitTDboost.lossTDboost.moreTDboost.perf
Dependencies:lattice
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Simulation data generated based from the FHT model used in Yang, Y., Qian, W. and Zou, H. (2013). | data1 data2 FHT |
| Marginal plots of fitted TDboost objects | plot.TDboost |
| Predict method for TDboost Model Fits | predict.TDboost |
| Methods for estimating relative influence | permutation.test.TDboost relative.influence TDboost.loss |
| Summary of a TDboost object | summary.TDboost |
| TDboost Tweedie Regression Modeling | TDboost TDboost.fit TDboost.more |
| TDboost Tweedie Regression Model Object | TDboost.object |
| TDboost performance | TDboost.perf |
