{ "_id": "6a218732cd65a98ecbd36923", "Package": "bayprior", "Title": "Bayesian Prior Elicitation and Diagnostics for Clinical Trials", "Version": "0.2.12", "Authors@R": "person(\"Ndoh\", \"Penn\", email = \"ndohpenn9@gmail.com\", role = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0009-0003-9054-465X\"))", "Description": "A toolkit for constructing, validating, and justifying\nBayesian priors in clinical trial settings. Implements expert\nelicitation via quantile matching, the roulette method, and\nmoment matching across six distribution families, linear and\nlogarithmic expert pooling, prior-data conflict diagnostics\nincluding the Box p-value, surprise index, information\ndivergence, and Mahalanobis distance, sensitivity analyses with\ntornado and influence heatmap plots, sceptical, robust, and\npower priors, and automated prior justification reports.\nIncludes a fully modular 'Shiny' application for interactive\nuse. Methods based on O'Hagan et al. (2006,\nISBN:9780470029886), Box (1980) , Oakley\nand O'Hagan (2010) , Schmidli\net al. (2014) , Ibrahim and Chen (2000)\n, Spiegelhalter et al. 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