predict

predict.mcemGLMM

This functions returns predicted link function of observations for a model fitted with <code>mcemGLMM</code>.

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

predict.mcemGLMM function

<dl> <dt>object</dt>
<dd>a model fitted with the mcemGLMM function.</dd> <dt>newdata</dt>
<dd>optional data frame with new data. The variable names must match the original variables. If missing, the function will return predicted values at each observation.</dd> <dt>type</dt>
<dd>character string. The type of predictions to be returned. Either "link" or "response" predictions are available.</dd> <dt>se.fit</dt>
<dd>logical. If true, standard errors will be returned.</dd> <dt>...</dt>
<dd>additional arguments.</dd></dl>

Arguments

Felipe Acosta Archila &lt;acosta@umn.edu&gt;

Author

Predict method for mcemGLMM objects — predict.mcemGLMM

<dl>

 <dt>object</dt>
<dd>a model fitted with the mcemGLMM function.</dd>

 <dt>newdata</dt>
<dd>optional data frame with new data. The variable names must match the original variables. If missing, the function will return predicted values at each observation.</dd>

 <dt>type</dt>
<dd>character string. The type of predictions to be returned. Either "link" or "response" predictions are available.</dd>

 <dt>se.fit</dt>
<dd>logical. If true, standard errors will be returned.</dd>

 <dt>...</dt>
<dd>additional arguments.</dd>

</dl>

predict.mcemGLMM: Predict method for mcemGLMM objects

Description

Usage

Value

Arguments

Author