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  "Authors@R": "person(given = \"David\", family = \"Preinerstorfer\",\nrole = c(\"aut\", \"cre\"), email = \"david.preinerstorfer@wu.ac.at\")",
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  "Description": "Implements the diagnostic \"theta\" developed in Poetscher\nand Preinerstorfer (2020) \"How Reliable are Bootstrap-based\nHeteroskedasticity Robust Tests?\"\n<doi:10.48550/arXiv.2005.04089>, which appeared as\n<doi:10.1017/S0266466622000184> in Econometric Theory , Volume\n39 , Issue 4 , August 2023 , pp. 789 - 847. The diagnostic\n\"theta\" can be used to detect and weed out bootstrap-based\nprocedures that provably have size equal to one for a given\ntesting problem. The implementation covers a large variety of\nbootstrap-based procedures, cf. the above mentioned article for\ndetails. A function for computing bootstrap p-values is\nprovided.",
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