cstep

Given the posterior probability, generate a matrix to assign
each individual to a class. The assignment is based on which probability is the largest.

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

cstep function

<dl><dt>postpr</dt>
<dd>(`matrix()`) 
The matrix of the posterior probability</dd></dl>

Arguments

C-Step of EM algorithm — cstep

<dl>

<dt>postpr</dt>
<dd>(`matrix()`) 
The matrix of the posterior probability</dd>

</dl>

cstep: C-Step of EM algorithm

Description

Usage

Arguments