contDist-class

Class for continuous 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

contDist-class function

Objects can be created by calls of the form <code>new("contDist", weight, center, disp)</code>.
These objects represent a continuous probability distribution as a mixture of one or more
elementary distributions.

Objects from the Class

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

Extends

No methods defined with class "dist" in the signature.

contDist-class: Class "contDist"

Description

Arguments

Objects from the Class

Extends

Methods

See Also

Examples