plot.betaMPT

plot.simpleMPT

plot.traitMPT

Plot Convergence for Hierarchical MPT Models

User-friendly analysis of hierarchical multinomial processing tree (MPT)
models that are often used in cognitive psychology. Implements the latent-trait
MPT approach (Klauer, 2010) <DOI:10.1007/s11336-009-9141-0> and the beta-MPT
approach (Smith & Batchelder, 2010) <DOI:10.1016/j.jmp.2009.06.007> to model
heterogeneity of participants. MPT models are conveniently specified by an
.eqn-file as used by other MPT software and data are provided by a .csv-file
or directly in R. Models are either fitted by calling JAGS or by an MPT-tailored
Gibbs sampler in C++ (only for nonhierarchical and beta MPT models). Provides
tests of heterogeneity and MPT-tailored summaries and plotting functions.
A detailed documentation is available in Heck, Arnold, & Arnold (2018)
<DOI:10.3758/s13428-017-0869-7> and a tutorial on MPT modeling can be found
in Schmidt, Erdfelder, & Heck (2022) <DOI:10.31234/osf.io/gh8md>.

Daniel W. Heck

TreeBUGS

Hierarchical Multinomial Processing Tree Modeling

Nina R. Arnold

Denis Arnold

Alexander Ly

Marius Barth

plot.betaMPT function

<dl><dt>x</dt>
<dd>fitted hierarchical MPT model (<code>traitMPT</code>, <code>betaMPT</code>)</dd>
<dt>parameter</dt>
<dd>which parameter to plot (e.g., <code>"theta"</code>,
<code>"mean"</code>, <code>"rho"</code>, <code>"slope"</code>).
Parameters are matched partially, in order to plot all entries of vector
valued parameters (see <code>getParam</code> to get a list of parameters).
Moreover, parameter labels can be used, e.g., <code>"theta[D]"</code> or <code>"rho[D,g]"</code></dd>
<dt>type</dt>
<dd>type of convergence plot. Can be one of <code>"default"</code>
(trace+density), <code>"acf"</code> (auto-correlation function),
<code>"trace"</code>, <code>"autocorr"</code>, <code>"crosscorr"</code>,<code>"density"</code>,
<code>"gelman"</code>. See plotting functions in the <code>coda</code> package
(<code>plot.mcmc.list</code>,
 <code>acfplot</code>,
 <code>traceplot</code>,
 <code>autocorr.plot</code>,
 <code>crosscorr.plot</code>,
 <code>densplot</code>,
 <code>gelman.plot</code>
).</dd>
<dt>...</dt>
<dd>further arguments passed to the plotting functions in coda</dd></dl>

Arguments

<ul>
<li><code>plot(betaMPT)</code>: Plot convergence for beta MPT</li>
<li><code>plot(simpleMPT)</code>: Plot convergence for nonhierarchical MPT model</li>
<li><code>plot(traitMPT)</code>: Plot convergence for latent-trait MPT</li>
</ul>

Methods (by class)

Plot Convergence for Hierarchical MPT Models — plot.betaMPT

<dl>

<dt>x</dt>
<dd>fitted hierarchical MPT model (<code>traitMPT</code>, <code>betaMPT</code>)</dd>


<dt>parameter</dt>
<dd>which parameter to plot (e.g., <code>"theta"</code>,
<code>"mean"</code>, <code>"rho"</code>, <code>"slope"</code>).
Parameters are matched partially, in order to plot all entries of vector
valued parameters (see <code>getParam</code> to get a list of parameters).
Moreover, parameter labels can be used, e.g., <code>"theta[D]"</code> or <code>"rho[D,g]"</code></dd>


<dt>type</dt>
<dd>type of convergence plot. Can be one of <code>"default"</code>
(trace+density), <code>"acf"</code> (auto-correlation function),
<code>"trace"</code>, <code>"autocorr"</code>, <code>"crosscorr"</code>,<code>"density"</code>,
<code>"gelman"</code>. See plotting functions in the <code>coda</code> package
(<code>plot.mcmc.list</code>,
 <code>acfplot</code>,
 <code>traceplot</code>,
 <code>autocorr.plot</code>,
 <code>crosscorr.plot</code>,
 <code>densplot</code>,
 <code>gelman.plot</code>
).</dd>


<dt>...</dt>
<dd>further arguments passed to the plotting functions in coda</dd>

</dl>

plot.betaMPT: Plot Convergence for Hierarchical MPT Models

Description

Usage

Arguments

Methods (by class)