make_factor_diagram

Makes a factor diagram plot. Heavily based on the fa.diagram function of the <code>psych</code> package.

Fit Bayesian (hierarchical) cognitive models
using a linear modeling language interface using particle metropolis Markov
chain Monte Carlo sampling with Gibbs steps. The diffusion decision model (DDM),
linear ballistic accumulator model (LBA), racing diffusion model (RDM), and the lognormal
race model (LNR) are supported. Additionally, users can specify their own likelihood
function and/or choose for non-hierarchical
estimation, as well as for a diagonal, blocked or full multivariate normal
group-level distribution to test individual differences. Prior specification
is facilitated through methods that visualize the (implied) prior.
A wide range of plotting functions assist in assessing model convergence and
posterior inference. Models can be easily evaluated using functions
that plot posterior predictions or using relative model comparison metrics
such as information criteria or Bayes factors.
References: Stevenson et al. (2024) <doi:10.31234/osf.io/2e4dq>.

Niek Stevenson

EMC2

Bayesian Hierarchical Analysis of Cognitive Models of Choice

Michelle Donzallaz

Andrew Heathcote

Steven Miletić

Jochen Voss

Andreas Voss

make_factor_diagram function

<dl><dt>emc</dt>
<dd>An emc object</dd>
<dt>stage</dt>
<dd>Character. The stage from which to take the samples</dd>
<dt>loadings</dt>
<dd>An array of loadings. Can be alternatively supplied if emc is not supplied</dd>
<dt>standardize</dt>
<dd>Boolean. Whether to standardize the loadings</dd>
<dt>simple</dt>
<dd>Boolean. Whether the factor diagram should be simplified for visual clarity.</dd>
<dt>only_cred</dt>
<dd>Boolean. Whether to only plot the credible loadings</dd>
<dt>cut</dt>
<dd>Numeric. Mean loadings beneath this number will be excluded.</dd>
<dt>nice_names</dt>
<dd>Character vector. Alternative names to give the parameters</dd>
<dt>factor_names</dt>
<dd>Character vector. Names to give the different factors</dd>
<dt>sort</dt>
<dd>Boolean. Whether to sort the paramaters before plotting for visual clarity.</dd>
<dt>adj</dt>
<dd>Integer. Adjust to adjust loading values positions in the diagram if illegible.</dd>
<dt>main</dt>
<dd>Character vector. Title of the plot</dd>
<dt>cex</dt>
<dd>Integer. Font size</dd></dl>

Arguments

Factor diagram plot — make_factor_diagram

<dl>

<dt>emc</dt>
<dd>An emc object</dd>


<dt>stage</dt>
<dd>Character. The stage from which to take the samples</dd>


<dt>loadings</dt>
<dd>An array of loadings. Can be alternatively supplied if emc is not supplied</dd>


<dt>standardize</dt>
<dd>Boolean. Whether to standardize the loadings</dd>


<dt>simple</dt>
<dd>Boolean. Whether the factor diagram should be simplified for visual clarity.</dd>


<dt>only_cred</dt>
<dd>Boolean. Whether to only plot the credible loadings</dd>


<dt>cut</dt>
<dd>Numeric. Mean loadings beneath this number will be excluded.</dd>


<dt>nice_names</dt>
<dd>Character vector. Alternative names to give the parameters</dd>


<dt>factor_names</dt>
<dd>Character vector. Names to give the different factors</dd>


<dt>sort</dt>
<dd>Boolean. Whether to sort the paramaters before plotting for visual clarity.</dd>


<dt>adj</dt>
<dd>Integer. Adjust to adjust loading values positions in the diagram if illegible.</dd>


<dt>main</dt>
<dd>Character vector. Title of the plot</dd>


<dt>cex</dt>
<dd>Integer. Font size</dd>

</dl>

make_factor_diagram: Factor diagram plot

Description

Usage

Arguments