Package: RRBoost 0.1

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_0.1.tar.gz
RRBoost_0.1.zip(r-4.5)RRBoost_0.1.zip(r-4.4)RRBoost_0.1.zip(r-4.3)
RRBoost_0.1.tgz(r-4.4-any)RRBoost_0.1.tgz(r-4.3-any)
RRBoost_0.1.tar.gz(r-4.5-noble)RRBoost_0.1.tar.gz(r-4.4-noble)
RRBoost_0.1.tgz(r-4.4-emscripten)RRBoost_0.1.tgz(r-4.3-emscripten)
RRBoost.pdf |RRBoost.html
RRBoost/json (API)

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

Peer review:

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

Datasets:

On CRAN:

2.70 score 106 downloads 5 exports 9 dependencies

Last updated 4 years agofrom:b6e479ecd7. Checks:OK: 1 ERROR: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 05 2024
R-4.5-winERRORNov 05 2024
R-4.5-linuxERRORNov 05 2024
R-4.4-winERRORNov 05 2024
R-4.4-macERRORNov 05 2024
R-4.3-winERRORNov 05 2024
R-4.3-macERRORNov 05 2024

Exports:BoostBoost.controlBoost.validationcal_imp_funccal_predict

Dependencies:DEoptimRlatticemvtnormpcaPPpyinitRobStatTMrobustbaserpartrrcov