xmengju/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) <10.1214/aos/1013203451>) and Robloss (Lutz et al. (2008) <10.1016/j.csda.2007.11.006>).

Getting started

Package details

AuthorXiaomeng Ju [aut,cre], Matias Salibian-Barrera [aut],
MaintainerXiaomeng Ju <jux01@nyu.edu>
LicenseGPL (>= 3)
Version0.2
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("xmengju/RRBoost")
xmengju/RRBoost documentation built on Nov. 23, 2024, 7:03 p.m.