plot.rsp

This function plot posterior mean estimates per factor along with Highest Density Intervals, as well as simultaneous credible regions.

A well known identifiability issue in factor analytic models is the invariance with respect to orthogonal transformations. This problem burdens the inference under a Bayesian setup, where Markov chain Monte Carlo (MCMC) methods are used to generate samples from the posterior distribution. The package applies a series of rotation, sign and permutation transformations (Papastamoulis and Ntzoufras (2022) <DOI:10.1007/s11222-022-10084-4>) into raw MCMC samples of factor loadings, which are provided by the user. The post-processed output is identifiable and can be used for MCMC inference on any parametric function of factor loadings. Comparison of multiple MCMC chains is also possible.

Panagiotis Papastamoulis

factor.switching

Post-Processing MCMC Outputs of Bayesian Factor Analytic Models

plot.rsp function

<dl> <dt>x</dt>
<dd>An object of class <code>rsp</code>.</dd> <dt>prob</dt>
<dd>Coverage probability of credible regions.</dd> <dt>myCol</dt>
<dd>Vector of colours.</dd> <dt>mfrow</dt>
<dd>Number of rows and columns in the resulting graphic.</dd> <dt>subSet</dt>
<dd>Enable to plot a subset of factors.</dd> <dt>simCR</dt>
<dd>Logical value for plotting simultaneous credible regions. Default: True.</dd> <dt>HDI</dt>
<dd>Logical value for plotting Highest Density Intervals per factor loading. Default: True.</dd> <dt>...</dt>
<dd>Ignored</dd></dl>

Arguments

Author

Plot posterior means and credible regions — plot.rsp

<dl>

 <dt>x</dt>
<dd>An object of class <code>rsp</code>.</dd>

 <dt>prob</dt>
<dd>Coverage probability of credible regions.</dd>

 <dt>myCol</dt>
<dd>Vector of colours.</dd>

 <dt>mfrow</dt>
<dd>Number of rows and columns in the resulting graphic.</dd>

 <dt>subSet</dt>
<dd>Enable to plot a subset of factors.</dd>

 <dt>simCR</dt>
<dd>Logical value for plotting simultaneous credible regions. Default: True.</dd>

 <dt>HDI</dt>
<dd>Logical value for plotting Highest Density Intervals per factor loading. Default: True.</dd>

 <dt>...</dt>
<dd>Ignored</dd>

</dl>

plot.rsp: Plot posterior means and credible regions

Description

Usage

Value

Arguments

Author

Examples