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RRBoost (version 0.1)

A Robust Boosting Algorithm

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) (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) ).

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Version

Install

install.packages('RRBoost')

Monthly Downloads

567

Version

0.1

License

GPL (>= 3)

Maintainer

Xiaomeng Ju

Last Published

October 13th, 2020

Functions in RRBoost (0.1)

Boost

Robust Boosting for regression
Boost.validation

Robust Boosting for regression with initialization parameters chosen on a validation set
Boost.control

Tuning and control parameters for the robust boosting algorithm
airfoil

Airfoil data
cal_predict

cal_predict
cal_imp_func

Variable importance scores for the robust boosting algorithm RRBoost