{ "_id": "6a1f102eb401979e7341d713", "Package": "R2D2ordinal", "Title": "Implements Pseudo-R2D2 Prior for Ordinal Regression", "Version": "1.0.2", "Authors@R": "person(\"Eric\", \"Yanchenko\", , \"eyanchenko@aiu.ac.jp\", role = c(\"aut\", \"cre\"))", "Description": "Implements the pseudo-R2D2 prior for ordinal regression\nfrom the paper \"Pseudo-R2D2 prior for high-dimensional ordinal\nregression\" by Yanchenko (2025)\n. In particular, it provides\ncode to evaluate the probability distribution function for the\ncut-points, compute the log-likelihood, calculate the\nhyper-parameters for the global variance parameter, find the\ndistribution of McFadden's coefficient-of-determination, and\nfit the model in 'rstan'. 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