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  "Description": "Implements the pseudo-R2D2 prior for ordinal regression\nfrom the paper \"Pseudo-R2D2 prior for high-dimensional ordinal\nregression\" by Yanchenko (2025)\n<doi:10.1007/s11222-025-10667-x>. 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'. Please cite the paper if you use\nthese codes.",
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