fit.den.glm

Fit the density function for a generalized linear regression model.

A generic function for running the Expectation-Maximization (EM) algorithm
within a maximum likelihood framework, based on Dempster, Laird, and Rubin (1977) <doi:10.1111/j.2517-6161.1977.tb01600.x>
is implemented. It can be applied after a model fitting using R's existing functions and packages.

Dongjie Wu

Generic EM Algorithm

fit.den.glm function

<dl><dt>object</dt>
<dd>the fitted model.</dd>
<dt>...</dt>
<dd>other used arguments.</dd></dl>

Arguments

Fit the density function for a generalized linear regression model. — fit.den.glm

<dl>

<dt>object</dt>
<dd>the fitted model.</dd>


<dt>...</dt>
<dd>other used arguments.</dd>

</dl>

fit.den.glm: Fit the density function for a generalized linear regression model.

Description

Usage

Value

Arguments