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="jux01@nyu.edu"),
             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) <10.1214/aos/1013203451>) and Robloss
        (Lutz et al. (2008) <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 <jux01@nyu.edu>
Repository: https://xmengju.r-universe.dev
Date/Publication: 2024-11-19 02:47:10 UTC
RemoteUrl: https://github.com/xmengju/rrboost
RemoteRef: HEAD
RemoteSha: ef15a53be895a120ff12089eb0c45c0cd397e9b5
NeedsCompilation: no
Packaged: 2026-06-18 06:28:04 UTC; root