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) (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) ) and Robloss (Lutz et al. (2008) ).


Reference manual

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0.1 by Xiaomeng Ju, a year ago

Browse source code at https://github.com/cran/RRBoost

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

Documentation:   PDF Manual  

GPL (>= 3) license

Imports stats, rpart, RobStatTM

See at CRAN