discDist-class

Class for discrete probability distributions.

classes

distribution

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

discDist-class function

Objects can be created by calls of the form <code>new("discDist", alpha, prob, dstr)</code>.
Either <code>alpha</code> and <code>prob</code> or <code>dstr</code> have to be provided.
The resulting object represents a discrete probability distribution over alphabet <code>alpha</code>
where the probabilities for individual symbols are given by <code>prob</code>.

Objects from the Class

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

discDist-class: Class "discDist"

Description

Arguments

Objects from the Class

Extends

See Also

Examples