summary.dpGLM_data

This function summarizes the data and parameters used to generate the data using the function hdpLGM.

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_data function

<dl><dt>object</dt>
<dd>an object of the class dpGLM_data</dd>
<dt>...</dt>
<dd>ignored</dd></dl>

Arguments

Summary dpGLM data — summary.dpGLM_data

<dl>

<dt>object</dt>
<dd>an object of the class dpGLM_data</dd>


<dt>...</dt>
<dd>ignored</dd>

</dl>

summary.dpGLM_data: Summary dpGLM data

Description

Usage

Value

Arguments