coda.samples.dic

This is a wrapper function for <code>jags.samples</code> which sets a trace
monitor for all requested nodes, updates the model, and coerces the
output to a single <code>mcmc.list</code> object. It also converts to the output
to dic format. This function is based on the <code>coda.samples</code> function
from the <code>rjags</code> library, and modified by Prof. Matthias Mittner.

Performs CACE (Complier Average Causal Effect analysis) on either a single study or meta-analysis of datasets with binary outcomes, using either complete or incomplete noncompliance information. Our package implements the Bayesian methods proposed in Zhou et al. (2019) <doi:10.1111/biom.13028>, which introduces a Bayesian hierarchical model for estimating CACE in meta-analysis of clinical trials with noncompliance, and Zhou et al. (2021) <doi:10.1080/01621459.2021.1900859>, with an application example on Epidural Analgesia.

Jinhui Yang

BayesCACE

Bayesian Model for CACE Analysis

Jincheng Zhou

James Hodges

Haitao Chu

coda.samples.dic function

<dl><dt>model</dt>
<dd>a jags model object</dd>
<dt>variable.names</dt>
<dd>a character vector giving the names of variables
to be monitored</dd>
<dt>n.iter</dt>
<dd>number of iterations to monitor</dd>
<dt>thin</dt>
<dd>thinning interval for monitors</dd>
<dt>...</dt>
<dd>optional arguments that are passed to the <code>jags.samples</code> method 
from the <code>rjags</code> library, for jags model objects</dd></dl>

Arguments

Generate posterior samples in mcmc.list format — coda.samples.dic

<dl>

<dt>model</dt>
<dd>a jags model object</dd>


<dt>variable.names</dt>
<dd>a character vector giving the names of variables
to be monitored</dd>


<dt>n.iter</dt>
<dd>number of iterations to monitor</dd>


<dt>thin</dt>
<dd>thinning interval for monitors</dd>


<dt>...</dt>
<dd>optional arguments that are passed to the <code>jags.samples</code> method 
from the <code>rjags</code> library, for jags model objects</dd>

</dl>

coda.samples.dic: Generate posterior samples in mcmc.list format

Description

Usage

Value

Arguments

References