histCorr

This function plots the posterior distribution of the elements of correlation matrices.

MCMC algorithms & processing functions for: 1. single response multiple regression, see Papageorgiou, G. (2018) <doi: 10.32614/RJ-2018-069>, 2. multivariate response multiple regression, with nonparametric models for the means, the variances and the correlation matrix, with variable selection, see Papageorgiou, G. and Marshall, B. C. (2020) <doi: 10.1080/10618600.2020.1739534>, 3. joint mean-covariance models for multivariate responses, see Papageorgiou, G. (2022) <doi: 10.1002/sim.9376>, and 4.Dirichlet process mixtures, see Papageorgiou, G. (2019) <doi: 10.1111/anzs.12273>.

Georgios Papageorgiou

BNSP

Bayesian Non- And Semi-Parametric Model Fitting

histCorr function

<dl><dt>x</dt>
<dd>an object of class `mvrm', as generated by function <code>mvrm</code>.</dd><dt>term</dt>
<dd>Admits two possible values: "R" to plot samples from the posterior of the correlation matrix \(R\), and "muR" to plot samples from the posterior of the means \(\mu_R\).</dd><dt>plotOptions</dt>
<dd>ggplot type options.</dd><dt>...</dt>
<dd>other arguments.</dd></dl>

Arguments

Georgios Papageorgiou <a href="/link/gpapageo%40gmail.com?package=BNSP&version=2.2.3" data-mini-rdoc="BNSP::gpapageo@gmail.com">gpapageo@gmail.com</a>

Author

Creates plots of correlation matrices — histCorr

<dl>

<dt>x</dt>
<dd>an object of class `mvrm', as generated by function <code>mvrm</code>.</dd>

<dt>term</dt>
<dd>Admits two possible values: "R" to plot samples from the posterior of the correlation matrix \(R\), and "muR" to plot samples from the posterior of the means \(\mu_R\).</dd>

<dt>plotOptions</dt>
<dd>ggplot type options.</dd>

<dt>...</dt>
<dd>other arguments.</dd>

</dl>

Georgios Papageorgiou <a href='mailto:gpapageo@gmail.com'>gpapageo@gmail.com</a>

histCorr: Creates plots of correlation matrices

Description

Usage

Value

Arguments

Author

Details

See Also

Examples