{ "_id": "6a16b292acfb0bcc41d853b5", "Package": "lineartestr", "Type": "Package", "Title": "Linear Specification Testing", "Version": "1.0.0", "Authors@R": "person(\"Federico\", \"Garza\", , \"fede.garza.ramirez@gmail.com\", role = c(\"aut\", \"cre\"), comment = c(ORCID = \"0000-0001-7015-8186\"))", "Maintainer": "Federico Garza ", "Description": "Tests whether the linear hypothesis of a model is correct\nspecified using Dominguez-Lobato test. Also Ramsey's RESET\n(Regression Equation Specification Error Test) test is\nimplemented and Wald tests can be carried out. Although RESET\ntest is widely used to test the linear hypothesis of a model,\nDominguez and Lobato (2019) proposed a novel approach that\ngeneralizes well known specification tests such as Ramsey's.\nThis test relies on wild-bootstrap; this package implements\nthis approach to be usable with any function that fits linear\nmodels and is compatible with the update() function such as\n'stats'::lm(), 'lfe'::felm() and 'forecast'::Arima(), for ARMA\n(autoregressive–moving-average) models. Also the package can\nhandle custom statistics such as Cramer von Mises and\nKolmogorov Smirnov, described by the authors, and custom\ndistributions such as Mammen (discrete and continuous) and\nRademacher. Manuel A. Dominguez & Ignacio N. Lobato (2019)\n.", "License": "GPL (>= 2)", "Encoding": "UTF-8", "RoxygenNote": "7.0.2", "URL": "https://github.com/FedericoGarza/lineartestr", "BugReports": "https://github.com/FedericoGarza/lineartestr/issues", "Config/pak/sysreqs": "libicu-dev libx11-dev", "Repository": "https://azulgarza.r-universe.dev", "Date/Publication": "2021-01-24 17:26:01 UTC", "RemoteUrl": "https://github.com/azulgarza/lineartestr", "RemoteRef": "HEAD", "RemoteSha": "bfeda5e53248f968dcc1cd0c37cf63366ffd2532", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-27 08:56:29 UTC", "User": "root" }, "Author": "Federico Garza [aut, cre] (ORCID:\n)", "MD5sum": "23af36df33ffe2a62a046081f53240b8", "_user": "azulgarza", "_type": "src", "_file": "lineartestr_1.0.0.tar.gz", "_fileid": "7d8cd84a9d67decb9eef1d74634b474804bb15403c26a04e7b0d73880dfae7c1", "_filesize": 161787, "_sha256": "7d8cd84a9d67decb9eef1d74634b474804bb15403c26a04e7b0d73880dfae7c1", "_created": "2026-05-27T08:56:29.000Z", "_published": 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