Package: RRBoost 0.2

Xiaomeng Ju

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>).

Authors:Xiaomeng Ju [aut,cre], Matias Salibian-Barrera [aut],

RRBoost_0.2.tar.gz
RRBoost_0.2.zip(r-4.7-any)RRBoost_0.2.zip(r-4.6-any)RRBoost_0.2.zip(r-4.5-any)
RRBoost_0.2.tgz(r-4.6-any)RRBoost_0.2.tgz(r-4.5-any)
RRBoost_0.2.tar.gz(r-4.7-any)RRBoost_0.2.tar.gz(r-4.6-any)
RRBoost_0.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
RRBoost/json (API)

# Install 'RRBoost' in R:
install.packages('RRBoost', repos = c('https://xmengju.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/xmengju/rrboost/issues

Datasets:

On CRAN:

Conda:

2.70 score 1 stars 3 scripts 351 downloads 5 exports 9 dependencies

Last updated from:ef15a53be8. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK115
source / vignettesOK172
linux-releaseOK118
macos-releaseOK193
macos-oldrelOK190
windows-develOK96
windows-releaseOK93
windows-oldrelOK85
wasm-releaseOK78

Exports:BoostBoost.controlBoost.validationcal_imp_funccal_predict

Dependencies:DEoptimRlatticemvtnormpcaPPpyinitRobStatTMrobustbaserpartrrcov