BayesGOF: 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 >).

Package details

AuthorSubhadeep Mukhopadhyay, Douglas Fletcher
MaintainerDoug Fletcher <[email protected]>
LicenseGPL-2
Version5.2
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("BayesGOF")

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BayesGOF documentation built on May 2, 2019, 8:57 a.m.