libbpp-phyl-dev 2.2.0-1+b1 / usr / include / Bpp / Phyl / Likelihood / RNonHomogeneousMixedTreeLikelihood.h

//
// File: RNonHomogeneousMixedLikelihood.h
// Created by: Laurent Gueguen
// Created on: jeudi 11 novembre 2010, à 07h 56
//

/*
   Copyright or © or Copr. Bio++ Development Team, (November 16, 2004)

   This software is a computer program whose purpose is to provide classes
   for phylogenetic data analysis.

   This software is governed by the CeCILL  license under French law and
   abiding by the rules of distribution of free software.  You can  use,
   modify and/ or redistribute the software under the terms of the CeCILL
   license as circulated by CEA, CNRS and INRIA at the following URL
   "http://www.cecill.info".

   As a counterpart to the access to the source code and  rights to copy,
   modify and redistribute granted by the license, users are provided only
   with a limited warranty  and the software's author,  the holder of the
   economic rights,  and the successive licensors  have only  limited
   liability.

   In this respect, the user's attention is drawn to the risks associated
   with loading,  using,  modifying and/or developing or reproducing the
   software by the user in light of its specific status of free software,
   that may mean  that it is complicated to manipulate,  and  that  also
   therefore means  that it is reserved for developers  and  experienced
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 */

#ifndef _RNONHOMOGENEOUSMIXEDTREELIKELIHOOD_H_
#define _RNONHOMOGENEOUSMIXEDTREELIKELIHOOD_H_

#include "RNonHomogeneousTreeLikelihood.h"
#include "../Model/MixedSubstitutionModelSet.h"

#include <Bpp/Numeric/VectorTools.h>
#include <Bpp/Numeric/Prob/DiscreteDistribution.h>

using namespace std;
namespace bpp
{
/**
 *@ brief A class to compute the average of several
 *RNonHomogeneousTreeLikelihood defined from a Mixed Substitution
 *Model.
 *
 * This class is made recursively. At each node, we test if an
 * expansion of a mixed model is necessary. This is the case when this
 * model points towards different subtrees under this node, or towards
 * a son of this node and a branch under it. If an expansion is
 * necessary, a vector of RNonHomogeneousMixedLikelihood* is built
 * with all the submodels combinations.
 *
 * Note that this approach is not the most efficient, since a graph
 * based one would avoid some computations, but it seems much more
 * difficult to do it in the extant hierarchy.
 **/

class RNonHomogeneousMixedTreeLikelihood :
  public RNonHomogeneousTreeLikelihood
{
private:

  /**
   * @brief the map of the branch numbers to the vectors of the
   * TreeLikelihoods for the expanded model on this branch.
   *
   */

  map<int, vector<RNonHomogeneousMixedTreeLikelihood*> > mvTreeLikelihoods_;

  /**
   * @brief A specific HyperNode in which the computation is
   * processed. If the probability of this HyperNode is -1, it means
   * that it should not be used, and the HyperNodes are all in the
   * MixedSubstitutionModelSet object.
   *
   * This object owns the HyperNode pointers of the owned
   * RNonHomogeneousMixedTreeLikelihood.
   */
  
  MixedSubstitutionModelSet::HyperNode hyperNode_;

  /**
   * @brief the number of the node under which tree the Treelikelihood
   * is computed.
   *
   */
  
  int upperNode_;

  /**
   * @brief a flag to say if this object is the head of the hierarchy
   *
   **/

  bool main_;
  
  /**
   * @brief Build a new RNonHomogeneousMixeTreeLikelihood object
   * without data.
   *
   * This constructor only initialize the parameters. To compute a
   * likelihood, you will need to call the setData() and the
   * computeTreeLikelihood() methods.
   *
   * @param tree The tree to use.
   * @param modelSet The set of substitution models to use.
   * @param hyperNode an hypernode of the numbers of the submodels
   *  used in the mixed models.
   * @param upperNode the number of the node under which the treelikelihood
   *  is computed.
   * @param rDist The rate across sites distribution to use.
   *  If true, any rooted tree will be unrooted before likelihood computation.
   * @param verbose Should I display some info?
   * @param usePatterns Tell if recursive site compression should be performed.
   * @throw Exception in an error occured.
   */

  RNonHomogeneousMixedTreeLikelihood(const Tree& tree,
                                     MixedSubstitutionModelSet* modelSet,
                                     const MixedSubstitutionModelSet::HyperNode& hyperNode,
                                     int upperNode,
                                     DiscreteDistribution* rDist,
                                     bool verbose,
                                     bool usePatterns);

  /**
   * @brief Build a new RNonHomogeneousMixeTreeLikelihood object
   * with data.
   *
   * This constructor only initialize the parameters. To compute a
   * likelihood, you will need to call the setData() and the
   * computeTreeLikelihood() methods.
   *
   * @param tree The tree to use.
   * @param data Sequences to use.
   * @param modelSet The set of substitution models to use.
   * @param hyperNode an hypernode of the numbers of the submodels
   *  used in the mixed models.
   * @param upperNode the number of the node under which the treelikelihood
   *  is computed.
   * @param rDist The rate across sites distribution to use.
   *  If true, any rooted tree will be unrooted before likelihood computation.
   * @param verbose Should I display some info?
   * @param usePatterns Tell if recursive site compression should be performed.
   * @throw Exception in an error occured.
   */

  RNonHomogeneousMixedTreeLikelihood(const Tree& tree,
                                     const SiteContainer& data,
                                     MixedSubstitutionModelSet* modelSet,
                                     const MixedSubstitutionModelSet::HyperNode& hyperNode,
                                     int upperNode,
                                     DiscreteDistribution* rDist,
                                     bool verbose,
                                     bool usePatterns);


  /**
   * brief method where the recursive structure is built.
   *
   */
  
  void init(bool usePatterns);

  
public:
  /**
   * @brief Build a new RNonHomogeneousMixeTreeLikelihood object
   * without data.
   *
   * This constructor only initialize the parameters. To compute a
   * likelihood, you will need to call the setData() and the
   * computeTreeLikelihood() methods.
   *
   * @param tree The tree to use.
   * @param modelSet The set of substitution models to use.
   * @param rDist The rate across sites distribution to use.
   * If true, any rooted tree will be unrooted before likelihood computation.
   * @param verbose Should I display some info?
   * @param usePatterns Tell if recursive site compression should be performed.
   * @throw Exception in an error occured.
   */
  RNonHomogeneousMixedTreeLikelihood(
    const Tree& tree,
    MixedSubstitutionModelSet* modelSet,
    DiscreteDistribution* rDist,
    bool verbose = true,
    bool usePatterns = true)
  throw (Exception);

  /**
   * @brief Build a new RNonHomogeneousMixedTreeLikelihood object
   * and compute the corresponding likelihood.
   *
   * This constructor initializes all parameters, data, and
   * likelihood arrays.
   *
   * @param tree The tree to use.
   * @param data Sequences to use.
   * @param modelSet The set of substitution models to use.
   * @param rDist The rate across sites distribution to use.
   * @param verbose Should I display some info?
   * @param usePatterns Tell if recursive site compression should be performed.
   * @throw Exception in an error occured.
   */
  RNonHomogeneousMixedTreeLikelihood(const Tree& tree,
                                     const SiteContainer& data,
                                     MixedSubstitutionModelSet* modelSet,
                                     DiscreteDistribution* rDist,
                                     bool verbose = true,
                                     bool usePatterns = true)
    throw (Exception);

  RNonHomogeneousMixedTreeLikelihood(const RNonHomogeneousMixedTreeLikelihood& lik);

  RNonHomogeneousMixedTreeLikelihood& operator=(const RNonHomogeneousMixedTreeLikelihood& lik);

  virtual ~RNonHomogeneousMixedTreeLikelihood();

  RNonHomogeneousMixedTreeLikelihood* clone() const { return new RNonHomogeneousMixedTreeLikelihood(*this); }

public:
  /**
   * @name The TreeLikelihood interface.
   *
   * Other methods are implemented in the AbstractHomogeneousTreeLikelihood class.
   *
   * @{
   */
  void setData(const SiteContainer& sites) throw (Exception);

public:
  // Specific methods:
  void initialize() throw (Exception);

  void computeTreeDLikelihood(const string& variable);

  void computeTreeD2Likelihood(const string& variable);

  /**
   * @brief returns the probability of this object in the hierarchy
   *
   */
  
  double getProbability() const;

  /**
   * @brief sets the probability of this object in the hierarchy
   *
   */
  
  void setProbability(double x);

  /**
   * @brief returns the HyperNode describing the owned submodels.
   *
   */

  const MixedSubstitutionModelSet::HyperNode& getHyperNode() { return hyperNode_;}
protected:


  /**
   * @brief Compute the likelihood for a subtree defined by the Tree::Node <i>node</i>.
   *
   * @param node The root of the subtree.
   */
  virtual void computeSubtreeLikelihood(const Node* node); // Recursive method.

  virtual void computeDownSubtreeDLikelihood(const Node*);

  virtual void computeDownSubtreeD2Likelihood(const Node*);

  void fireParameterChanged(const ParameterList& params);

  void computeTransitionProbabilitiesForNode(const Node* node);

};
} // end of namespace bpp.

#endif  // _RNONHOMOGENEOUSMIXEDTREELIKELIHOOD_H_