{ "_id": "6a153733acfb0bcc41d4f9ac", "Package": "DiffXTables", "Title": "Pattern Analysis Across Contingency Tables", "Version": "0.1.3", "Date": "2021-05-15", "Authors@R": "c(person(given = \"Ruby\",\nfamily = \"Sharma\",\nrole = \"aut\",\nemail = \"ruby49@nmsu.edu\",\ncomment = c(ORCID = \"0000-0001-7774-4065\")\n),\nperson(given = \"Joe\",\nfamily = \"Song\",\nrole = c(\"aut\", \"cre\"),\nemail = \"joemsong@cs.nmsu.edu\",\ncomment = c(ORCID = \"0000-0002-6883-6547\")\n)\n)", "Author": "Ruby Sharma [aut] (),\nJoe Song [aut, cre] ()", "Maintainer": "Joe Song ", "Description": "Statistical hypothesis testing of pattern heterogeneity\nvia differences in underlying distributions across multiple\ncontingency tables. Five tests are included: the comparative\nchi-squared test (Song et al. 2014) \n(Zhang et al. 2015) , the Sharma-Song\ntest (Sharma et al. 2021) ,\nthe heterogeneity test, the marginal-change test (Sharma et al.\n2020) , and the strength test\n(Sharma et al. 2020) . Under the\nnull hypothesis that row and column variables are statistically\nindependent and joint distributions are equal, their test\nstatistics all follow an asymptotically chi-squared\ndistribution. A comprehensive type analysis categorizes the\nrelation among the contingency tables into type null, 0, 1, and\n2 (Sharma et al. 2020) . They can\nidentify heterogeneous patterns that differ in either the first\norder (marginal) or the second order (differential departure\nfrom independence). Second-order differences reveal more\nfundamental changes than first-order differences across\nheterogeneous patterns.", "RdMacros": "Rdpack", "License": "LGPL (>= 3)", "Encoding": "UTF-8", "NeedsCompilation": "no", "VignetteBuilder": "knitr", "RoxygenNote": "7.1.1", "Packaged": { "Date": "2026-05-26 05:58:19 UTC", "User": "root" }, "Repository": "https://joemsong.r-universe.dev", "Date/Publication": "2021-05-16 03:30:02 UTC", "RemoteUrl": "https://github.com/cran/DiffXTables", "RemoteRef": "HEAD", "RemoteSha": "4bba27f406f49d22b69a7674c1015bdc48c16dcb", "MD5sum": "becf186898618c0bb444cc5816a84678", "_user": "joemsong", "_type": "src", "_file": "DiffXTables_0.1.3.tar.gz", "_fileid": "d510a973f3cb97205b6457b7ac9e29ab149826aedcc4d58fb1eb77328c4a632a", "_filesize": 352244, "_sha256": "d510a973f3cb97205b6457b7ac9e29ab149826aedcc4d58fb1eb77328c4a632a", "_created": "2026-05-26T05:58:19.000Z", "_published": "2026-05-26T06:01:23.672Z", "_distro": "noble", "_jobs": [ { "job": 77816133008, 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"strength.test" ] }, { "page": "type.analysis", "title": "Comprehensive Type Analysis for Difference Across Contingency Tables", "topics": [ "type.analysis" ] } ], "_readme": "https://github.com/cran/DiffXTables/raw/HEAD/README.md", "_rundeps": [ "digest", "pander", "rbibutils", "Rcpp", "Rdpack" ], "_vignettes": [ { "source": "DiffXTables.Rmd", "filename": "DiffXTables.html", "title": "Using the 'DiffXTables' R package to detect heterogeneity", "author": "Ruby Sharma and Joe Song", "engine": "knitr::rmarkdown", "headings": [ "Types of pattern", "The three tests of distributional differences across tables", "1. 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