BayesGOF: Bayesian Modeling via 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, Technical Report, <arXiv:1802.00474>).

Version: 2.1
Depends: orthopolynom, VGAM
Suggests: knitr, rmarkdown
Published: 2018-02-08
Author: Subhadeep Mukhopadhyay, Douglas Fletcher
Maintainer: Doug Fletcher <tug25070 at temple.edu>
License: GPL-2
NeedsCompilation: no
CRAN checks: BayesGOF results

Downloads:

Reference manual: BayesGOF.pdf
Vignettes: Bayes via Goodness of Fit
Package source: BayesGOF_2.1.tar.gz
Windows binaries: r-devel: BayesGOF_2.1.zip, r-release: BayesGOF_2.1.zip, r-oldrel: BayesGOF_2.1.zip
OS X El Capitan binaries: r-release: BayesGOF_2.1.tgz
OS X Mavericks binaries: r-oldrel: BayesGOF_1.4.tgz
Old sources: BayesGOF archive

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