Package: BayesGOF
Type: Package
Title: Bayesian Modeling via Frequentist Goodness-of-Fit
Version: 5.2
Date: 2018-10-09
Author: Subhadeep Mukhopadhyay, Douglas Fletcher
Maintainer: Doug Fletcher <tug25070@temple.edu>
Description: 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 >). 
Depends: orthopolynom, VGAM, Bolstad2, nleqslv
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
License: GPL-2
NeedsCompilation: no
Packaged: 2018-10-09 19:42:06 UTC; dougf
Repository: CRAN
Date/Publication: 2018-10-09 21:50:09 UTC
Built: R 4.6.0; ; 2026-04-25 13:30:00 UTC; unix
