JAGS_formula_design

Returns the fitted formula design metadata stored by
<code>JAGS_fit()</code>. The design contains the processed formula, fitted model frame,
exact model matrix used for JAGS data construction, JAGS-safe coefficient
names, contrast and factor-level metadata, rank diagnostics, prior metadata,
and formula-scale information.

Provides tools for conducting Bayesian analyses and Bayesian model averaging
(Kass and Raftery, 1995, <doi:10.1080/01621459.1995.10476572>,
Hoeting et al., 1999, <doi:10.1214/ss/1009212519>). The package contains
functions for creating a wide range of prior distribution objects, mixing posterior
samples from 'JAGS' and 'Stan' models, plotting posterior distributions, and etc...
The tools for working with prior distribution span from visualization, generating 'JAGS'
and 'bridgesampling' syntax to basic functions such as rng, quantile, and distribution functions.

Franti<c5><a1>ek Barto<c5><a1>

BayesTools

Tools for Bayesian Analyses

František Bartoš

JAGS_formula_design function

<dl><dt>fit</dt>
<dd>a fitted object returned by <code>JAGS_fit()</code>.</dd>
<dt>parameter</dt>
<dd>optional formula parameter name. If <code>NULL</code>, all stored
formula designs are returned.</dd></dl>

Arguments

Extract Fitted JAGS Formula Design Metadata — JAGS_formula_design

<dl>

<dt>fit</dt>
<dd>a fitted object returned by <code>JAGS_fit()</code>.</dd>


<dt>parameter</dt>
<dd>optional formula parameter name. If <code>NULL</code>, all stored
formula designs are returned.</dd>

</dl>

JAGS_formula_design: Extract Fitted JAGS Formula Design Metadata

Description

Usage

Value

Arguments

See Also