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


Reference manual: RRBoost.pdf


Package source: RRBoost_0.1.tar.gz
Windows binaries: r-devel: RRBoost_0.1.zip, r-release: RRBoost_0.1.zip, r-oldrel: RRBoost_0.1.zip
macOS binaries: r-release (arm64): RRBoost_0.1.tgz, r-oldrel (arm64): RRBoost_0.1.tgz, r-release (x86_64): RRBoost_0.1.tgz, r-oldrel (x86_64): RRBoost_0.1.tgz


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