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) <doi:10.1214/aos/1013203451>) and Robloss (Lutz et al. (2008) <doi:10.1016/j.csda.2007.11.006>).
| Version: |
0.1 |
| Depends: |
R (≥ 3.5.0) |
| Imports: |
stats, rpart, RobStatTM |
| Published: |
2020-10-13 |
| 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 [issues need fixing before 2024-11-21] |
Documentation:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=RRBoost
to link to this page.