exdata

Simulated binary response dataset to use in examples.

datasets

Maximum likelihood estimation for generalized linear mixed models via Monte Carlo EM.
For a description of the algorithm see Brian S. Caffo, Wolfgang Jank and Galin L. Jones (2005)
<DOI:10.1111/j.1467-9868.2005.00499.x>.

Felipe Archila

mcemGLM

Maximum Likelihood Estimation for Generalized Linear Mixed
Models

exdata function

A data frame with 60 observations on the following 4 variables.<dl>
 <dt><code>obs</code></dt>
<dd>a numeric binary vector</dd> <dt><code>obs2</code></dt>
<dd>a numeric count vector</dd> <dt><code>x</code></dt>
<dd>a numeric vector</dd> <dt><code>z1</code></dt>
<dd>a factor with levels <code>1</code>, and <code>2</code></dd> <dt><code>z2</code></dt>
<dd>a factor with levels <code>1</code>, <code>2</code>, and <code>3</code></dd> 
</dl>The observations were generated independently with the code shown 
 in the examples section.

Format

Example data — exdata

A data frame with 60 observations on the following 4 variables.<dl>
 <dt><code>obs</code></dt>
<dd>a numeric binary vector</dd>

 <dt><code>obs2</code></dt>
<dd>a numeric count vector</dd>

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

 <dt><code>z1</code></dt>
<dd>a factor with levels <code>1</code>, and <code>2</code></dd>

 <dt><code>z2</code></dt>
<dd>a factor with levels <code>1</code>, <code>2</code>, and <code>3</code></dd>

 
</dl>The observations were generated independently with the code shown 
 in the examples section.

exdata: Example data

Description

Usage

Arguments

Format

Examples