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: 2026-07-04 04:44:39 UTC; root
Repository: https://cran.r-universe.dev
Date/Publication: 2018-10-09 20:50:09 UTC
RemoteUrl: https://github.com/cran/BayesGOF
RemoteRef: HEAD
RemoteSha: add399975c64457a908c395d7baf24ee5bd9ddaf