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" (< https://www.nature.com/articles/s41598-018-28130-5 >).


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install.packages("BayesGOF")

5.2 by Doug Fletcher, 10 days ago


Browse source code at https://github.com/cran/BayesGOF


Authors: Subhadeep Mukhopadhyay , Douglas Fletcher


Documentation:   PDF Manual  


GPL-2 license


Depends on orthopolynom, VGAM, Bolstad2, nleqslv

Suggests knitr, rmarkdown


See at CRAN