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A Bayesian data modeling scheme that performs four interconnected tasks: (i) characterizes the uncertainty of the elicited parametric prior; (ii) provides exploratory diagnostic for checking prior-data conflict; (iii) computes the final statistical prior density estimate; and (iv) executes macro- and micro-inference. Primary reference is Mukhopadhyay, S. and Fletcher, D. 2018 paper "Generalized Empirical Bayes via Frequentist Goodness of Fit" (<https://www.nature.com/articles/s41598-018-28130-5 >).
Package details |
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Author | Subhadeep Mukhopadhyay, Douglas Fletcher |
Maintainer | Doug Fletcher <tug25070@temple.edu> |
License | GPL-2 |
Version | 5.2 |
Package repository | View on CRAN |
Installation |
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