summary.dpGLM

This function provides a summary of the MCMC samples from the dpGLM model

Implementation of MCMC algorithms to estimate the Hierarchical Dirichlet Process Generalized Linear Model (hdpGLM) presented in the paper Ferrari (2020) Modeling Context-Dependent Latent Heterogeneity, Political Analysis <DOI:10.1017/pan.2019.13> and <doi:10.18637/jss.v107.i10>.

Diogo Ferrari

hdpGLM

Hierarchical Dirichlet Process Generalized Linear Models

summary.dpGLM function

<dl><dt>object</dt>
<dd>a <code>dpGLM</code> object returned by the function <code>hdpGLM</code></dd>
<dt>...</dt>
<dd>The additional parameters accepted are:
true.beta: (see plot.dpGLM)</dd></dl>

Arguments

Summary for dpGLM class — summary.dpGLM

<dl>

<dt>object</dt>
<dd>a <code>dpGLM</code> object returned by the function <code>hdpGLM</code></dd>


<dt>...</dt>
<dd>The additional parameters accepted are:
true.beta: (see plot.dpGLM)</dd>

</dl>

summary.dpGLM: Summary for dpGLM class

Description

Usage

Arguments

Details