multi.em

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

multi.em function

<dl><dt>object</dt>
<dd>the model to use in em, e.g. `lm`, `glm`, `gnm`</dd>
<dt>...</dt>
<dd>arguments used in em.</dd></dl>

Arguments

Multiple run of EM algorithm — multi.em

<dl>

<dt>object</dt>
<dd>the model to use in em, e.g. `lm`, `glm`, `gnm`</dd>


<dt>...</dt>
<dd>arguments used in em.</dd>

</dl>

multi.em: Multiple run of EM algorithm

Description

Usage

Value

Arguments