Package: RRBoost
Type: Package
Title: A Robust Boosting Algorithm
Version: 0.2
Date: 2024-11-17
Authors@R: c(person("Xiaomeng", "Ju", role=c("aut", "cre"), email="xiaomeng.ju@stat.ubc.ca"),
             person("Matias", "Salibian-Barrera", role = c("aut"), email = "matias@stat.ubc.ca")
             )
Description: 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>).
Depends: R (>= 3.5.0)
Imports: stats, rpart, RobStatTM, methods
License: GPL (>= 3)
LazyData: True
RoxygenNote: 7.3.1
Encoding: UTF-8
Suggests: testthat (>= 3.0.0)
Config/testthat/edition: 3
Author: Xiaomeng Ju [aut, cre],
  Matias Salibian-Barrera [aut]
Maintainer: Xiaomeng Ju <xiaomeng.ju@stat.ubc.ca>
NeedsCompilation: no
Packaged: 2024-11-19 18:42:40 UTC; xmengju
Repository: CRAN
Date/Publication: 2024-11-19 19:00:02 UTC
Built: R 4.6.0; ; 2026-04-26 04:43:49 UTC; unix
