Package: RRBoost
Type: Package
Title: A Robust Boosting Algorithm
Version: 0.1
Date: 2020-09-28
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> (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>).
Depends: R (>= 3.5.0)
Imports: stats, rpart, RobStatTM
License: GPL (>= 3)
LazyData: True
RoxygenNote: 7.1.1
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2020-10-05 16:10:45 UTC; JasmineJu
Author: Xiaomeng Ju [aut, cre],
  Matias Salibian-Barrera [aut]
Maintainer: Xiaomeng Ju <xiaomeng.ju@stat.ubc.ca>
Repository: CRAN
Date/Publication: 2020-10-13 13:10:06 UTC
Built: R 4.1.0; ; 2021-05-27 23:07:46 UTC; unix
