Robust Regression with Asymmetric Heavy-Tail Noise Distributions

Implementation of Robust Regression tailored to deal with Asymmetric noise Distribution, which was originally proposed by Takeuchi & Bengio & Kanamori (2002) . In addition, this implementation is extended as introducing potential feature regularization by LASSO etc.


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install.packages("rrat")

1.0.0 by Yi He, a year ago


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


Authors: Yi He and Yuelin Zhao


Documentation:   PDF Manual  


GPL (>= 2) license


Depends on quantreg


See at CRAN