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  "Package": "tableParser",
  "Title": "Parse Tabled Content to Text Vector and Extract Statistical\nStandard Results",
  "Date": "2026-04-09",
  "Version": "1.0.5",
  "Authors@R": "c(person(\"Ingmar\", \"Böschen\", email = \"ingmar.boeschen@uni-hamburg.de\", role = c(\"aut\", \"cre\"), comment = c(ORCID = \"0000-0003-1159-3991\")))",
  "Maintainer": "Ingmar Böschen <ingmar.boeschen@uni-hamburg.de>",
  "Description": "Features include the ability to extract tabled content\nfrom NISO-JATS-coded XML, any native HTML or HML file, DOCX,\nand PDF documents, and then collapse it into a text format that\nis readable by humans by mimicking the actions of a screen\nreader. As tables within PDF documents are extracted with the\n'tabulapdf' package, and the table captions and footnotes\ncannot be extracted, the results on tables within PDF documents\nhave to be considered less precise. The function table2matrix()\nreturns a list of the tables within a document as character\nmatrices. table2text() collapses the matrix content into a list\nof character strings by imitating the behavior of a screen\nreader. The textual representation of characters and numbers\ncan be unified with unifyMatrix() before parsing. The function\ntable2stats() extracts the tabled statistical test results from\nthe collapsed text with the function standardStats() from the\n'JATSdecoder' package and, if activated, checks the reported\nand coded p-values for consistency. Due to the great\nvariability and potential complexity of table structures,\nparsing accuracy may vary. A detailed description of how\n'tableParser' works is provided here:\n<doi:10.48550/arXiv.2603.19756>.",
  "License": "GPL-3",
  "URL": "https://github.com/ingmarboeschen/tableParser",
  "BugReports": "https://github.com/ingmarboeschen/tableParser/issues",
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  "Repository": "https://ingmarboeschen.r-universe.dev",
  "Date/Publication": "2026-08-31 06:56:51 UTC",
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