contHMM-class

initialize, contHMM

Class for HMMs with continuous emission distributions.

classes

models

This package provides methods and classes to build HMMs that are suitable for 
 the analysis of ChIP-on-chip data. The provided parameter estimation methods include the 
 Baum-Welch algorithm and Viterbi training as well as a combination of both.

Peter Humburg

tileHMM

Hidden Markov Models for ChIP-on-Chip Analysis

contHMM-class function

Objects can be created by calls of the form <code>new("contHMM", transition, emission, init)</code>.
For the special case of <em>t</em> distributions objects of this class can be created more
conveniently by a call to <code>getHMM</code>.  The function <code>hmm.setup</code> provides facilities to
create <code>"contHMM"</code> objects with initial parameter estimates obtained from data.

Objects from the Class

Class <code>"<links4class>hmm</links4class>"</code>, directly.

contHMM-class: Class "contHMM"

Description

Arguments

Objects from the Class

Extends

See Also

Examples