init.em

Given a matrix with number of rows equal to the number of
observation and number of columns equal to the number of latent classes,
function `init.em` generate the posterior probability using that matrix
based on the method set by the user.

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

init.em function

<dl><dt>object</dt>
<dd>A matrix.</dd>
<dt>...</dt>
<dd>other used arguments.</dd></dl>

Arguments

Initialization of EM algorithm — init.em

<dl>

<dt>object</dt>
<dd>A matrix.</dd>


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

</dl>

init.em: Initialization of EM algorithm

Description

Usage

Value

Arguments