RHomogeneousMixedTreeLikelihood.cpp

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//
// File: RHomogeneousMixedTreeLikelihood.h
// Created by: David Fournier, Laurent Gueguen
//

/*
   Copyright or © or Copr. CNRS, (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
   professionals having in-depth computer knowledge. Users are therefore
   encouraged to load and test the software's suitability as regards their
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   same conditions as regards security.

   The fact that you are presently reading this means that you have had
   knowledge of the CeCILL license and that you accept its terms.
 */

#include "RHomogeneousMixedTreeLikelihood.h"


// From the STL:
#include <iostream>

#include <math.h>
#include "../PatternTools.h"

#include <Bpp/Numeric/VectorTools.h>
#include <Bpp/App/ApplicationTools.h>

using namespace bpp;
using namespace std;

RHomogeneousMixedTreeLikelihood::RHomogeneousMixedTreeLikelihood(
  const Tree& tree,
  SubstitutionModel* model,
  DiscreteDistribution* rDist,
  bool checkRooted,
  bool verbose,
  bool usePatterns) throw (Exception) :
  RHomogeneousTreeLikelihood(tree, model, rDist, checkRooted, verbose, usePatterns),
  treeLikelihoodsContainer_(),
  probas_()
{
  MixedSubstitutionModel* mixedmodel;
  if ((mixedmodel = dynamic_cast<MixedSubstitutionModel*>(model_)) == 0)
    throw Exception("Bad model: RHomogeneousMixedTreeLikelihood needs a MixedSubstitutionModel.");
  size_t s = mixedmodel->getNumberOfModels();
  for (size_t i = 0; i < s; i++)
  {
    treeLikelihoodsContainer_.push_back(
      new RHomogeneousTreeLikelihood(tree, mixedmodel->getNModel(i), rDist, checkRooted, false, usePatterns));
    probas_.push_back(mixedmodel->getNProbability(i));
  }
}

RHomogeneousMixedTreeLikelihood::RHomogeneousMixedTreeLikelihood(
  const Tree& tree,
  const SiteContainer& data,
  SubstitutionModel* model,
  DiscreteDistribution* rDist,
  bool checkRooted,
  bool verbose,
  bool usePatterns) throw (Exception) :
  RHomogeneousTreeLikelihood(tree, model, rDist, checkRooted, verbose, usePatterns),
  treeLikelihoodsContainer_(),
  probas_()
{
  MixedSubstitutionModel* mixedmodel;

  if ((mixedmodel = dynamic_cast<MixedSubstitutionModel*>(model_)) == 0)
    throw Exception("Bad model: RHomogeneousMixedTreeLikelihood needs a MixedSubstitutionModel.");

  size_t s = mixedmodel->getNumberOfModels();
  for (size_t i = 0; i < s; i++)
  {
    treeLikelihoodsContainer_.push_back(
      new RHomogeneousTreeLikelihood(tree, mixedmodel->getNModel(i), rDist, checkRooted, false, usePatterns));
    probas_.push_back(mixedmodel->getNProbability(i));
  }
  setData(data);
}

RHomogeneousMixedTreeLikelihood& RHomogeneousMixedTreeLikelihood::operator=(const RHomogeneousMixedTreeLikelihood& lik)
{
  RHomogeneousTreeLikelihood::operator=(lik);

  treeLikelihoodsContainer_.clear();
  probas_.clear();

  for (size_t i = 0; i < treeLikelihoodsContainer_.size(); i++)
  {
    treeLikelihoodsContainer_.push_back(lik.treeLikelihoodsContainer_[i]->clone());
    probas_.push_back(lik.probas_[i]);
  }

  return *this;
}


RHomogeneousMixedTreeLikelihood::RHomogeneousMixedTreeLikelihood(const RHomogeneousMixedTreeLikelihood& lik) :
  RHomogeneousTreeLikelihood(lik),
  treeLikelihoodsContainer_(lik.treeLikelihoodsContainer_.size()),
  probas_(lik.probas_.size())
{
  for (size_t i = 0; i < treeLikelihoodsContainer_.size(); i++)
  {
    treeLikelihoodsContainer_[i] = lik.treeLikelihoodsContainer_[i]->clone();
    probas_.push_back(lik.probas_[i]);
  }
}

RHomogeneousMixedTreeLikelihood::~RHomogeneousMixedTreeLikelihood()
{
  for (size_t i = 0; i < treeLikelihoodsContainer_.size(); i++)
  {
    delete treeLikelihoodsContainer_[i];
  }
}


void RHomogeneousMixedTreeLikelihood::initialize() throw (Exception)
{
  for (size_t i = 0; i < treeLikelihoodsContainer_.size(); i++)
  {
    treeLikelihoodsContainer_[i]->initialize();
  }
  
  RHomogeneousTreeLikelihood::initialize();
}

void RHomogeneousMixedTreeLikelihood::setData(const SiteContainer& sites) throw (Exception)
{
  RHomogeneousTreeLikelihood::setData(sites);

  for (size_t i = 0; i < treeLikelihoodsContainer_.size(); i++)
  {
    treeLikelihoodsContainer_[i]->setData(sites);
  }
}


void RHomogeneousMixedTreeLikelihood::fireParameterChanged(const ParameterList& params)
{
  // checks in the model will change
  bool modelC=model_->getParameters().testParametersValues(params);

  applyParameters();
  MixedSubstitutionModel* mixedmodel = dynamic_cast<MixedSubstitutionModel*>(model_);
  size_t s = mixedmodel->getNumberOfModels();

  const SubstitutionModel* pm;
  for (size_t i = 0; i < s; i++)
  {
    ParameterList pl;
    pm = mixedmodel->getNModel(i);
    pl.addParameters(pm->getParameters());
    pl.includeParameters(getParameters());

    if (modelC){
      treeLikelihoodsContainer_[i]->setParameters(pl);
    }
    else
      treeLikelihoodsContainer_[i]->matchParametersValues(pl);
  }
  
  probas_ = mixedmodel->getProbabilities();
  minusLogLik_ = -getLogLikelihood();
}

void RHomogeneousMixedTreeLikelihood::computeTreeLikelihood()
{
  for (size_t i = 0; i < treeLikelihoodsContainer_.size(); i++)
  {
    treeLikelihoodsContainer_[i]->computeTreeLikelihood();
  }
}

/******************************************************************************
 *                                   Likelihoods                              *
 ******************************************************************************/
double RHomogeneousMixedTreeLikelihood::getLikelihoodForASiteForARateClass(size_t site, size_t rateClass) const
{
  double res = 0;

  for (size_t i = 0; i < treeLikelihoodsContainer_.size(); i++)
  {
    res += treeLikelihoodsContainer_[i]->getLikelihoodForASiteForARateClass(site, rateClass) * probas_[i];
  }

  return res;
}

double RHomogeneousMixedTreeLikelihood::getLogLikelihoodForASiteForARateClass(size_t site, size_t rateClass) const
{
  double x = getLikelihoodForASiteForARateClass(site, rateClass);
  if (x < 0)
    x = 0;
  return log(x);
}

double RHomogeneousMixedTreeLikelihood::getLikelihoodForASiteForARateClassForAState(size_t site, size_t rateClass, int state) const
{
  double res = 0;

  for (size_t i = 0; i < treeLikelihoodsContainer_.size(); i++)
  {
    res += treeLikelihoodsContainer_[i]->getLikelihoodForASiteForARateClassForAState(site, rateClass, state) * probas_[i];
  }

  return res;
}

double RHomogeneousMixedTreeLikelihood::getLogLikelihoodForASiteForARateClassForAState(size_t site, size_t rateClass, int state) const
{
  double x = getLikelihoodForASiteForARateClassForAState(site, rateClass, state);
  if (x < 0)
    x = 0;
  return log(x);
}


/******************************************************************************
*                           First Order Derivatives                          *
******************************************************************************/
double RHomogeneousMixedTreeLikelihood::getDLikelihoodForASiteForARateClass(size_t site, size_t rateClass) const
{
  double res = 0;

  for (size_t i = 0; i < treeLikelihoodsContainer_.size(); i++)
  {
    res += treeLikelihoodsContainer_[i]->getDLikelihoodForASiteForARateClass(site, rateClass) * probas_[i];
  }

  return res;
}

void RHomogeneousMixedTreeLikelihood::computeTreeDLikelihood(const string& variable)
{
  for (size_t i = 0; i < treeLikelihoodsContainer_.size(); i++)
  {
    treeLikelihoodsContainer_[i]->computeTreeDLikelihood(variable);
  }
}

/******************************************************************************
*                           Second Order Derivatives                          *
******************************************************************************/
double RHomogeneousMixedTreeLikelihood::getD2LikelihoodForASiteForARateClass(size_t site, size_t rateClass) const
{
  double res = 0;

  for (size_t i = 0; i < treeLikelihoodsContainer_.size(); i++)
  {
    res += treeLikelihoodsContainer_[i]->getD2LikelihoodForASiteForARateClass(site, rateClass) * probas_[i];
  }

  return res;
}


void RHomogeneousMixedTreeLikelihood::computeTreeD2Likelihood(const string& variable)
{
  for (size_t i = 0; i < treeLikelihoodsContainer_.size(); i++)
  {
    treeLikelihoodsContainer_[i]->computeTreeD2Likelihood(variable);
  }
}

void RHomogeneousMixedTreeLikelihood::computeSubtreeLikelihood(const Node* node)
{
  for (size_t i = 0; i < treeLikelihoodsContainer_.size(); i++)
  {
    treeLikelihoodsContainer_[i]->computeSubtreeLikelihood(node);
  }
}

void RHomogeneousMixedTreeLikelihood::computeDownSubtreeDLikelihood(const Node* node)
{
  for (size_t i = 0; i < treeLikelihoodsContainer_.size(); i++)
  {
    treeLikelihoodsContainer_[i]->computeDownSubtreeDLikelihood(node);
  }
}

void RHomogeneousMixedTreeLikelihood::computeDownSubtreeD2Likelihood(const Node* node)
{
  for (size_t i = 0; i < treeLikelihoodsContainer_.size(); i++)
  {
    treeLikelihoodsContainer_[i]->computeDownSubtreeD2Likelihood(node);
  }
}


void RHomogeneousMixedTreeLikelihood::computeAllTransitionProbabilities()
{
  for (size_t i = 0; i < treeLikelihoodsContainer_.size(); i++)
  {
    treeLikelihoodsContainer_[i]->computeAllTransitionProbabilities();
  }
}


void RHomogeneousMixedTreeLikelihood::computeTransitionProbabilitiesForNode(const Node* node)
{
  for (size_t i = 0; i < treeLikelihoodsContainer_.size(); i++)
  {
    treeLikelihoodsContainer_[i]->computeTransitionProbabilitiesForNode(node);
  }
}


void RHomogeneousMixedTreeLikelihood::displayLikelihood(const Node* node)
{
  for (size_t i = 0; i < treeLikelihoodsContainer_.size(); i++)
  {
    treeLikelihoodsContainer_[i]->displayLikelihood(node);
  }
}