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>. 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

Documentation:

Reference manual:

RRBoost.pdf

Downloads:

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

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