Package: rrat
Type: Package
Title: Robust Regression with Asymmetric Heavy-Tail Noise Distributions
Version: 1.0.0
Date: 2019-09-28
Author: Yi He and Yuelin Zhao
Maintainer: Yi He <yi.he@stats.oxon.org>
Description: Implementation of Robust Regression tailored to deal with
        Asymmetric noise Distribution, which was originally proposed by
        Takeuchi & Bengio & Kanamori (2002)
        <doi:10.1162/08997660260293300>. In addition, this
        implementation is extended as introducing potential feature
        regularization by LASSO etc.
Depends: R(>= 2.10), quantreg
License: GPL (>= 2)
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2026-10-09 12:52:10 UTC; root
Repository: https://cran.r-universe.dev
Date/Publication: 2019-10-07 14:50:02 UTC
RemoteUrl: https://github.com/cran/rrat
RemoteRef: HEAD
RemoteSha: 0ff6fcb9c0e43473371ec871df0c85f854e35d11