Package: RRBoost 0.2
Xiaomeng Ju
RRBoost: A Robust Boosting Algorithm
An implementation of robust boosting algorithms for regression in R. This includes the RRBoost method proposed in the paper "Robust Boosting for Regression Problems" (Ju X and Salibian-Barrera M. 2020) <doi:10.1016/j.csda.2020.107065> (to appear in Computational Statistics and Data Science). It also implements previously proposed boosting algorithms in the simulation section of the paper: L2Boost, LADBoost, MBoost (Friedman, J. H. (2001) <10.1214/aos/1013203451>) and Robloss (Lutz et al. (2008) <10.1016/j.csda.2007.11.006>).
Authors:
RRBoost_0.2.tar.gz
RRBoost_0.2.zip(r-4.7)RRBoost_0.2.zip(r-4.6)RRBoost_0.2.zip(r-4.5)
RRBoost_0.2.tgz(r-4.6-any)RRBoost_0.2.tgz(r-4.5-any)
RRBoost_0.2.tar.gz(r-4.7-any)RRBoost_0.2.tar.gz(r-4.6-any)
RRBoost_0.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
RRBoost/json (API)
| # Install 'RRBoost' in R: |
| install.packages('RRBoost', repos = c('https://xmengju.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/xmengju/rrboost/issues
- airfoil - Airfoil data
Last updated from:ef15a53be8. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 135 | ||
| source / vignettes | OK | 196 | ||
| linux-release-x86_64 | OK | 131 | ||
| macos-release-arm64 | OK | 141 | ||
| macos-oldrel-arm64 | OK | 183 | ||
| windows-devel | OK | 83 | ||
| windows-release | OK | 77 | ||
| windows-oldrel | OK | 85 | ||
| wasm-release | OK | 90 |
Exports:BoostBoost.controlBoost.validationcal_imp_funccal_predict
Dependencies:DEoptimRlatticemvtnormpcaPPpyinitRobStatTMrobustbaserpartrrcov
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Airfoil data | airfoil |
| Robust Boosting for regression | Boost |
| Tuning and control parameters for the robust boosting algorithm | Boost.control |
| Robust Boosting for regression with initialization parameters chosen on a validation set | Boost.validation |
| Variable importance scores for the robust boosting algorithm RRBoost | cal_imp_func |
| cal_predict | cal_predict |