LF06art

For replication purposes between Stata and R. Long and Freese (2006) analyze these data to illustrate regression models for count dependent variables.

datasets

Several functions for working with mixed effects regression models for limited dependent variables. The functions facilitate post-estimation of model predictions or margins, and comparisons between model predictions for assessing or probing moderation. Additional helper functions facilitate model comparisons and implements simulation-based inference for model predictions of alternative-specific outcome models. See also, Melamed and Doan (2024, ISBN: 978-1032509518).

David Melamed

catregs

Post-Estimation Functions for Generalized Linear Mixed Models

LF06art function

A data frame with 915 observations on the following 6 variables.<dl>
 <dt><code>art</code></dt>
<dd>count response</dd> <dt><code>fem</code></dt>
<dd>dummy for sex</dd> <dt><code>mar</code></dt>
<dd>dummy for married</dd> <dt><code>kid5</code></dt>
<dd>number of children under five</dd> <dt><code>phd</code></dt>
<dd>a numeric vector</dd> <dt><code>ment</code></dt>
<dd>a numeric vector</dd> 
</dl>

Format

Data to replicate Long and Freese's (2006) count models (pp354-414) — LF06art

A data frame with 915 observations on the following 6 variables.<dl>
 <dt><code>art</code></dt>
<dd>count response</dd>

 <dt><code>fem</code></dt>
<dd>dummy for sex</dd>

 <dt><code>mar</code></dt>
<dd>dummy for married</dd>

 <dt><code>kid5</code></dt>
<dd>number of children under five</dd>

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

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

 
</dl>

LF06art: Data to replicate Long and Freese's (2006) count models (pp354-414)

Description

Usage

Arguments

Format

Examples