rrat (1.0.0)

0 users

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.

Maintainer: Yi He
Author(s): Yi He and Yuelin Zhao

License: GPL (>= 2)

Uses: quantreg

Released 8 months ago.



  (0 votes)


  (0 votes)

Log in to vote.


No one has written a review of rrat yet. Want to be the first? Write one now.

Related packages:(20 best matches, based on common tags.)

Search for rrat on google, google scholar, r-help, r-devel.

Visit rrat on R Graphical Manual.