AbstractDiscreteDistribution.h

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//
// File: AbstractDiscreteDistribution.h
// Authors:
//   Julien Dutheil
// Created: ?
//
 
/*
  Copyright or © or Copr. Bio++ Development Team, (November 19, 2004)
  
  This software is a computer program whose purpose is to provide classes
  for numerical calculus.
  
  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
  requirements in conditions enabling the security of their systems and/or
  data to be ensured and, more generally, to use and operate it in the
  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.
*/
 
#ifndef BPP_NUMERIC_PROB_ABSTRACTDISCRETEDISTRIBUTION_H
#define BPP_NUMERIC_PROB_ABSTRACTDISCRETEDISTRIBUTION_H
 
#include <map>
 
#include "../AbstractParameterAliasable.h"
#include "../Constraints.h"
#include "DiscreteDistribution.h"
 
namespace bpp
{
class AbstractDiscreteDistribution :
  public virtual DiscreteDistribution,
  public AbstractParameterAliasable
{
public:
  class Order
  {
private:
    double precision_;
 
public:
    Order(double prec = NumConstants::TINY()) :
      precision_(prec)
    {}
 
    Order(const Order& ord) :
      precision_(ord.precision_)
    {}
 
    Order& operator=(const Order& ord)
    {
      precision_ = ord.precision_;
      return *this;
    }
 
    double precision() const
    {
      return precision_;
    }
 
    void setPrecision(double prec)
    {
      precision_ = prec;
    }
 
    bool operator()(double l1, double l2) const
    {
      return l1 < l2 - precision_;
    }
  };
 
protected:
  /*
   * The number of categories
   */
 
  size_t numberOfCategories_;
  std::map<double, double, Order> distribution_;
 
  std::vector<double> bounds_;
 
  std::shared_ptr<IntervalConstraint> intMinMax_;
 
  bool median_;
 
public:
  AbstractDiscreteDistribution(size_t nbClasses, const std::string& prefix = "");
 
  AbstractDiscreteDistribution(size_t nbClasses, double precision, const std::string& prefix = "");
 
  AbstractDiscreteDistribution(const AbstractDiscreteDistribution& adde);
 
  AbstractDiscreteDistribution& operator=(const AbstractDiscreteDistribution& adde);
 
  virtual ~AbstractDiscreteDistribution() {}
 
public:
  size_t getNumberOfCategories() const;
  void setNumberOfCategories(size_t nbClasses);
  double getCategory(size_t categoryIndex) const;
  double getProbability(size_t categoryIndex) const;
  double getProbability(double category) const;
  Vdouble getCategories() const;
  Vdouble getProbabilities() const;
  double getValueCategory(double value) const;
  size_t getCategoryIndex(double value) const;
  void set(double category, double probability);
  void add(double category, double probability);
  double getInfCumulativeProbability(double category) const;
  double getIInfCumulativeProbability(double category) const;
  double getSupCumulativeProbability(double category) const;
  double getSSupCumulativeProbability(double category) const;
  double rand() const;
  double randC() const { throw Exception("AbstractDiscreteDistribution::randC. No continuous version available for this distribution."); }
 
  /*
   *@return value of the internal bound
   *
   */
  double getBound(size_t i) const
  {
    if (i >= numberOfCategories_ - 1)
      throw IndexOutOfBoundsException("AbstractDiscreteDistribution::getBound(i)", i, 0, numberOfCategories_ - 1);
    return bounds_[i];
  }
 
 
  /*
   *@brief Information about the range of the distribution
   *
   */
  double getLowerBound() const
  {
    return intMinMax_->getLowerBound();
  }
 
  double getUpperBound() const
  {
    return intMinMax_->getUpperBound();
  }
 
  bool strictLowerBound() const
  {
    return intMinMax_->strictLowerBound();
  }
 
  bool strictUpperBound() const
  {
    return intMinMax_->strictUpperBound();
  }
 
  Vdouble getBounds() const;
 
  void print(OutputStream& out) const;
 
  double precision() const { return distribution_.key_comp().precision();}
 
  void setMedian(bool median)
  {
    if (median_ != median)
    {
      median_ = median;
      discretize();
    }
  }
 
  virtual void discretize();
 
  virtual void restrictToConstraint(const Constraint& c);
};
} // end of namespace bpp.
#endif // BPP_NUMERIC_PROB_ABSTRACTDISCRETEDISTRIBUTION_H