JAGS_get_inits

Creates initial values for priors in
a 'JAGS' model.

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_get_inits function

<dl><dt>prior_list</dt>
<dd>named list of prior distribution
(names correspond to the parameter names)</dd>
<dt>chains</dt>
<dd>number of chains</dd>
<dt>seed</dt>
<dd>seed for random number generation</dd></dl>

Arguments

Create initial values for 'JAGS' model — JAGS_get_inits

<dl>

<dt>prior_list</dt>
<dd>named list of prior distribution
(names correspond to the parameter names)</dd>


<dt>chains</dt>
<dd>number of chains</dd>


<dt>seed</dt>
<dd>seed for random number generation</dd>

</dl>

JAGS_get_inits: Create initial values for 'JAGS' model

Description

Usage

Value

Arguments