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
NeedsCompilation: no
Packaged: 2025-04-30 21:54:54 UTC; s674l142
Author: Shaobo Li [aut, cre],
  Yichen Qin [aut]
Repository: CRAN
Date/Publication: 2025-05-01 13:30:13 UTC
Built: R 4.6.0; ; 2026-04-28 07:17:51 UTC; unix
