The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
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>. It also implements previously proposed boosting algorithms in the simulation section of the paper: L2Boost, LADBoost, MBoost (Friedman, J. H. (2001) <doi:10.1214/aos/1013203451>) and Robloss (Lutz et al. (2008) <doi:10.1016/j.csda.2007.11.006>).
| Version: | 0.2 |
| Depends: | R (≥ 3.5.0) |
| Imports: | stats, rpart, RobStatTM, methods |
| Suggests: | testthat (≥ 3.0.0) |
| Published: | 2024-11-19 |
| DOI: | 10.32614/CRAN.package.RRBoost |
| Author: | Xiaomeng Ju [aut, cre], Matias Salibian-Barrera [aut] |
| Maintainer: | Xiaomeng Ju <xiaomeng.ju at stat.ubc.ca> |
| License: | GPL (≥ 3) |
| NeedsCompilation: | no |
| CRAN checks: | RRBoost results |
| Reference manual: | RRBoost.pdf |
| Package source: | RRBoost_0.2.tar.gz |
| Windows binaries: | r-devel: RRBoost_0.2.zip, r-release: RRBoost_0.1.zip, r-oldrel: RRBoost_0.2.zip |
| macOS binaries: | r-release (arm64): RRBoost_0.2.tgz, r-oldrel (arm64): RRBoost_0.2.tgz, r-release (x86_64): RRBoost_0.2.tgz, r-oldrel (x86_64): RRBoost_0.2.tgz |
| Old sources: | RRBoost archive |
Please use the canonical form https://CRAN.R-project.org/package=RRBoost to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.