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>).

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Description file content

Package
BayesGOF
Type
Package
Title
Bayesian Modeling via Goodness-of-Fit
Version
4.0
Date
2018-05-17
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, Technical Report, ).
Depends
orthopolynom, VGAM, Bolstad2, nleqslv
Suggests
knitr, rmarkdown
VignetteBuilder
knitr
License
GPL-2
NeedsCompilation
no
Packaged
2018-05-17 20:28:49 UTC; Doug
Repository
CRAN
Date/Publication
2018-05-18 03:12:49 UTC

install.packages('BayesGOF')

4.0

2 months ago

Doug Fletcher

GPL-2

Depends on

orthopolynom, VGAM, Bolstad2, nleqslv

Suggests

knitr, rmarkdown

Discussions