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 paper "Generalized Empirical Bayes via Frequentist Goodness of Fit" (<https://www.nature.com/articles/s41598-018-28130-5 >).

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Description file content

Package
BayesGOF
Type
Package
Title
Bayesian Modeling via Goodness-of-Fit
Version
4.2
Date
2018-08-15
Author
Subhadeep Mukhopadhyay, Douglas Fletcher
Maintainer
Doug Fletcher
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" ().
Depends
orthopolynom, VGAM, Bolstad2, nleqslv
Suggests
knitr, rmarkdown
VignetteBuilder
knitr
License
GPL-2
NeedsCompilation
no
Packaged
2018-08-15 13:41:25 UTC; dougf
Repository
CRAN
Date/Publication
2018-08-15 15:10:03 UTC

install.packages('BayesGOF')

4.2

a month ago

Doug Fletcher

GPL-2

Depends on

orthopolynom, VGAM, Bolstad2, nleqslv

Suggests

knitr, rmarkdown

Discussions