bnMCMCResults

<p>Results from a Bayesian Network Metropolis-Hastings algorithm run on simulated data.
Included for examples.</p>

datasets

Trace plots and convergence diagnostics for Markov Chain Monte Carlo (MCMC) algorithms on highly multivariate or unordered spaces. Methods outlined in a forthcoming paper.

Luke Duttweiler

genMCMCDiag

Generalized Convergence Diagnostics for Difficult MCMC
Algorithms

bnMCMCResults function


<div class="section" id="bnmcmcresults">
<h3><code>bnMCMCResults</code></h3><p></p><p>
</p><p>A list with 5 elements, each representing a different MCMC chain. Each element is
a list of data.frames describing a partition arrangement of a Bayesian Network.</p>
</div>


Format

Results from a Bayesian Network MCMC algorithm on simulated data — bnMCMCResults


<div class='section' id='bnmcmcresults'>
<h3><code>bnMCMCResults</code></h3>


<p>A list with 5 elements, each representing a different MCMC chain. Each element is
a list of data.frames describing a partition arrangement of a Bayesian Network.</p>
</div>


bnMCMCResults: Results from a Bayesian Network MCMC algorithm on simulated data

Description

Usage

Arguments

Format

`bnMCMCResults`