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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) <doi:10.1214/aos/1013203451>) and Robloss (Lutz et al. (2008) <doi:10.1016/j.csda.2007.11.006>).
Package details |
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Author | Xiaomeng Ju [aut, cre], Matias Salibian-Barrera [aut] |
Maintainer | Xiaomeng Ju <xiaomeng.ju@stat.ubc.ca> |
License | GPL (>= 3) |
Version | 0.1 |
Package repository | View on CRAN |
Installation |
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