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  "Title": "Robust Three-Group Tests for Heteroscedasticity in Linear\nRegression",
  "Version": "0.1.0",
  "Date": "2026-09-28",
  "Authors@R": "c(\nperson(given = \"Ahmed\", family = \"El-Kotory\",\nemail = \"ahmed.elkatory@alexu.edu.eg\",\nrole = \"aut\",\ncomment = c(ORCID = \"0009-0000-1485-0768\")),\nperson(given = \"Ebrahim Khaled\", family = \"Ebrahim\",\nemail = \"ebrahimkhaled@alexu.edu.eg\",\nrole = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0009-0006-7839-8778\")))",
  "Maintainer": "Ebrahim Khaled Ebrahim <ebrahimkhaled@alexu.edu.eg>",
  "Description": "Tests for heteroscedasticity in the linear regression\nmodel that sort the data by a regressor, split them into three\nequal parts and compare the error scale of the parts. The\nordinary least squares version 'kah3.test()' refers the ratio\nof the largest to the smallest residual mean square to its\nexact null distribution, Hartley's maximum F-ratio with three\ngroups; the robust version 'kah.robust.test()' replaces the\nmean squares by least trimmed squares scales, so that outliers\nneither create nor hide heteroscedasticity, and refers the\nratio to a maximum F-ratio with simulated effective degrees of\nfreedom, to a Monte Carlo reference or to a residual bootstrap.\nThe distribution, density, quantile and random generation\nfunctions of the maximum F-ratio are provided, together with\n'run.all.het()', which runs the proposed tests next to the\nGoldfeld-Quandt, Breusch-Pagan, White and robust modified\nGoldfeld-Quandt tests in one call. For more details see Hartley\n(1950) <doi:10.1093/biomet/37.3-4.308>, Goldfeld and Quandt\n(1965) <doi:10.1080/01621459.1965.10480811> and Rousseeuw\n(1984) <doi:10.1080/01621459.1984.10477105>.",
  "License": "GPL-3",
  "URL": "https://github.com/ebrahimkhaled/KOTORY",
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  "Date/Publication": "2026-09-29 10:04:30 UTC",
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    "User": "root"
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