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MTE: Maximum Tangent Likelihood Estimation for Robust Linear Regression and Variable Selection
Several robust estimators for linear regression and variable selection are provided. Included are Maximum tangent likelihood estimator by Qin, et al., (2017) <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.
Getting started
Browse package contents
Package details |
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| Author | Shaobo Li [aut, cre], Yichen Qin [aut] |
| Maintainer | Shaobo Li <shaobo.li@ku.edu> |
| License | GPL-3 |
| Version | 1.2 |
| URL | GitHub: https://github.com/shaobo-li/MTE |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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