{ "_id": "6af809a3be2268deb4a40222", "Package": "winnify", "Type": "Package", "Title": "Visual Summaries and Wrappers for Estimating the Win Ratio and\nRelated Measures", "Version": "1.0.0", "Authors@R": "c(\nperson(\"Hannah\",\"Johns\",\nrole=c(\"aut\",\"cre\"),\nemail=\"dr.hannah.johns@gmail.com\",\ncomment=c(ORCID=\"0000-0003-2135-0504\")\n),\nperson(\"Nathalie\",\"Launder\",\nrole=c(\"aut\"),\ncomment=c(ORCID=\"0000-0002-7898-0083\")\n),\nperson(\"Leonid\",\"Churilov\",\nrole=c(\"aut\"),\ncomment=c(ORCID=\"0000-0002-9807-6606\")\n)\n)", "Maintainer": "Hannah Johns ", "Description": "Facilitates analysis of Generalised Pairwise Comparisons\nwith Prioritised Outcomes (e.g. Win Ratio, Win Odds). Includes\na wrapper function that enables rank-based Desirability of\nOutcome Ranking analyses with any existing ordinal analysis\npackage (e.g. probabilistic index models provided by R package\n`pim') plus automated input processing and a formula-based\ninterface for estimating win statistics (using R package\n`WINS') without needing to restructure or rename the data. 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