Hilbe

Data analyzed by Hilbe (2011), and used here to illustrate model visualization and coefficient decomposition for count models.

datasets

Turns regression models inside out. Functions decompose variances and coefficients for various regression model types. Functions also visualize regression model objects using techniques developed in Schoon, Melamed, and Breiger (2024) <doi:10.1017/9781108887205>.

David Melamed

rioplot

Turn a Regression Model Inside Out

Ronald L. Breiger

Eric W. Schoon

Hilbe function

A data frame with 601 observations on the following 9 variables.<dl>
 <dt><code>naffairs</code></dt>
<dd>a numeric vector</dd> <dt><code>avgmarr</code></dt>
<dd>a numeric vector</dd> <dt><code>hapavg</code></dt>
<dd>a numeric vector</dd> <dt><code>vryhap</code></dt>
<dd>a numeric vector</dd> <dt><code>smerel</code></dt>
<dd>a numeric vector</dd> <dt><code>vryrel</code></dt>
<dd>a numeric vector</dd> <dt><code>yrsmarr4</code></dt>
<dd>a numeric vector</dd> <dt><code>yrsmarr5</code></dt>
<dd>a numeric vector</dd> <dt><code>yrsmarr6</code></dt>
<dd>a numeric vector</dd> 
</dl>

Format

Replication data for regression models with a count dependent variable. — Hilbe

A data frame with 601 observations on the following 9 variables.<dl>
 <dt><code>naffairs</code></dt>
<dd>a numeric vector</dd>

 <dt><code>avgmarr</code></dt>
<dd>a numeric vector</dd>

 <dt><code>hapavg</code></dt>
<dd>a numeric vector</dd>

 <dt><code>vryhap</code></dt>
<dd>a numeric vector</dd>

 <dt><code>smerel</code></dt>
<dd>a numeric vector</dd>

 <dt><code>vryrel</code></dt>
<dd>a numeric vector</dd>

 <dt><code>yrsmarr4</code></dt>
<dd>a numeric vector</dd>

 <dt><code>yrsmarr5</code></dt>
<dd>a numeric vector</dd>

 <dt><code>yrsmarr6</code></dt>
<dd>a numeric vector</dd>

 
</dl>

Hilbe: Replication data for regression models with a count dependent variable.

Description

Usage

Arguments

Format

Examples