Package: MTE
Type: Package
Title: Maximum Tangent Likelihood Estimation for Robust Linear
        Regression and Variable Selection
Version: 1.2.1
Encoding: UTF-8
Date: 2025-04-30
Authors@R: 
  c(person("Shaobo", "Li", email="shaobo.li@ku.edu", role=c("aut", "cre")),
    person("Yichen", "Qin", email="qinyn@ucmail.uc.edu", role=c("aut")))
Maintainer: Shaobo Li <shaobo.li@ku.edu>
Description: Several robust estimators for linear regression and
        variable selection are provided. Included are Maximum tangent
        likelihood estimator by Qin, et al., (2017), arXiv preprint
        <doi:10.48550/arXiv.1708.05439>, least absolute deviance
        estimator and Huber regression. The penalized version of each
        of these estimator incorporates L1 penalty function, i.e.,
        LASSO and Adaptive Lasso. They are able to produce consistent
        estimates for both fixed and high-dimensional settings.
URL: https://github.com/shaobo-li/MTE
Depends: R (>= 3.1.0)
License: GPL-3
RoxygenNote: 7.2.3
Imports: stats, quantreg, glmnet, rqPen
Repository: https://shaobo-li.r-universe.dev
Date/Publication: 2025-05-02 14:30:03 UTC
RemoteUrl: https://github.com/shaobo-li/mte
RemoteRef: HEAD
RemoteSha: 30935d111accad6a350ca22a94dd2908ff5d0ebe
NeedsCompilation: no
Packaged: 2026-10-17 07:55:28 UTC; root
Author: Shaobo Li [aut, cre],
  Yichen Qin [aut]