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PhasedVLMarkov Class Reference

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

#include <seqpp/PhasedVLMarkov.h>

Inheritance diagram for PhasedVLMarkov:

PhasedMarkov 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.

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.


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


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



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