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  "Date": "2026-01-27",
  "Authors@R": "c(\nperson(\"José Andrés\", \"Flores-García\", , \"andres.flores@uaslp.mx\", role = c(\"cre\", \"aut\", \"cph\"),\ncomment = c(ORCID = \"0000-0003-0688-3134\")),\nperson(\"Antonio Augusto\", \"Gordillo-Moscoso\", role = \"aut\",\ncomment = c(ORCID = \"0000-0002-7351-4614\")),\nperson(\"Jhoselin Marian\", \"Castro-Rodriguez\", role = \"aut\",\ncomment = c(ORCID = \"0009-0001-0855-4353\"))\n)",
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  "Description": "Simplify bivariate and regression analyses by automating\nresult generation, including summary tables, statistical tests,\nand customizable graphs. It supports tests for continuous and\ndichotomous data, as well as stepwise regression for linear,\nlogistic, and Firth penalized logistic models.  While not a\nsubstitute for tailored analysis, 'BiVariAn' accelerates\nworkflows and is expanding features like multilingual\ninterpretations of results.The methods for selecting\nsignificant statistical tests, as well as the predictor\nselection in prediction functions, can be referenced in the\nworks of Marc Kery (2003)\n<doi:10.1890/0012-9623(2003)84[92:NORDIG]2.0.CO;2> and Rainer\nPuhr (2017) <doi:10.1002/sim.7273>.",
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