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>).

Getting started

Package details

AuthorXiaomeng Ju [aut, cre], Matias Salibian-Barrera [aut]
MaintainerXiaomeng Ju <xiaomeng.ju@stat.ubc.ca>
LicenseGPL (>= 3)
Version0.1
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("RRBoost")

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RRBoost documentation built on Oct. 23, 2020, 7:11 p.m.