Version 4.1.5

PhasedVLMarkov Class Reference

Phased Variable Length Markov modelling, estimation and simulation. More...

#include <seqpp/PhasedVLMarkov.h>

Inheritance diagram for PhasedVLMarkov:

List of all members.

Public Member Functions
template<class TSeq>
	PhasedVLMarkov (const TSeq &tseq, vector< double > &init, double cutoff, short phase, short initial_phase=0)
	Constructor 1 from a SequenceSet or a Sequence.
template<class TSeq>
	PhasedVLMarkov (const TSeq &tseq, double cutoff, short phase, short initial_phase=0)
	Constructor 2 from a SequenceSet or a Sequence with random init.
	~PhasedVLMarkov ()
	destructor
Protected Attributes
vlm_tree *	_vlmtree
	Variable Length Context Trees.

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Detailed Description

Phased Variable Length Markov modelling, estimation and simulation.

PhasedVLMarkov is a PhasedMarkov object with a different estimation step. This object performs the estimation with the Variable Length Markov algorithm and then transfoms, once per phase, the variable length context tree in a markovian matrix. One difference is that a cutoff is required for the selection of the tree.

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Constructor & Destructor Documentation

template<class TSeq> PhasedVLMarkov::PhasedVLMarkov (  const TSeq &  tseq, vector< double > &  init, double  cutoff, short  phase, short  initial_phase = 0 )  [inline]

Constructor 1 from a SequenceSet or a Sequence. Parameters: tseq  a (set of) sequence(s) for estimation init  initial law in the leaves cutoff  tree selection cutoff phase  phase initial_phase  phase of the first element of each sequence

template<class TSeq> PhasedVLMarkov::PhasedVLMarkov (  const TSeq &  tseq, double  cutoff, short  phase, short  initial_phase = 0 )  [inline]

Constructor 2 from a SequenceSet or a Sequence with random init. Parameters: tseq  a (set of) sequence(s) for estimation cutoff  tree selection cutoff phase  phase initial_phase  phase of the first element of each sequence

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The documentation for this class was generated from the following file:

• PhasedVLMarkov.h

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Contributors : M.Baudry, P.Y.Bourguignon, M.Hoebeke, V.Miele, P.Nicolas, G.Nuel, H.Richard, D.Robelin

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