A Robust Boosting Algorithm R package RRBoost version 0.2 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>). Software Depends: R (>= 3.5.0) Imports: stats, rpart, RobStatTM, methods Suggests: testthat (>= 3.0.0) Xiaomeng Ju <xiaomeng.ju@stat.ubc.ca> Comprehensive R Archive Network (CRAN) Xiaomeng Ju [aut, cre], Matias Salibian-Barrera [aut] GPL (>= 3) 2024-11-19 application/tgz https://CRAN.R-project.org/package=RRBoost doi:10.32614/CRAN.package.RRBoost