Bayesian Modeling via Frequentist Goodness-of-Fit

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" (< >).


Reference manual

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5.2 by Doug Fletcher, 2 years ago

Browse source code at

Authors: Subhadeep Mukhopadhyay , Douglas Fletcher

Documentation:   PDF Manual  

GPL-2 license

Depends on orthopolynom, VGAM, Bolstad2, nleqslv

Suggests knitr, rmarkdown

Depended on by LPRelevance.

See at CRAN