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  "Title": "Maximum Tangent Likelihood Estimation for Robust Linear\nRegression and Variable Selection",
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  "Encoding": "UTF-8",
  "Date": "2025-04-30",
  "Authors@R": "c(person(\"Shaobo\", \"Li\", email=\"shaobo.li@ku.edu\", role=c(\"aut\", \"cre\")),\nperson(\"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\nvariable selection are provided. Included are Maximum tangent\nlikelihood estimator by Qin, et al., (2017), arXiv preprint\n<doi:10.48550/arXiv.1708.05439>, least absolute deviance\nestimator and Huber regression. The penalized version of each\nof these estimator incorporates L1 penalty function, i.e.,\nLASSO and Adaptive Lasso. They are able to produce consistent\nestimates for both fixed and high-dimensional settings.",
  "URL": "https://github.com/shaobo-li/MTE",
  "License": "GPL-3",
  "RoxygenNote": "7.2.3",
  "Repository": "https://shaobo-li.r-universe.dev",
  "Date/Publication": "2025-05-02 14:30:03 UTC",
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    "Date": "2026-10-17 07:55:28 UTC",
    "User": "root"
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    "message": "updated to fix NOTES\n",
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        "LAD"
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      "title": "Maximum Tangent-likelihood Estimation",
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