BayesGOF (5.2)

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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" ().

Maintainer: Doug Fletcher
Author(s): Subhadeep Mukhopadhyay, Douglas Fletcher

License: GPL-2

Uses: Bolstad2, nleqslv, orthopolynom, VGAM, knitr, rmarkdown
Reverse depends: LPRelevance

Released about 1 year ago.

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