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//                                               -*- C++ -*-
/**
 *  @file  Dirichlet.hxx
 *  @brief The Dirichlet distribution
 *
 *  Copyright (C) 2005-2013 EDF-EADS-Phimeca
 *
 *  This library is free software: you can redistribute it and/or modify
 *  it under the terms of the GNU Lesser General Public License as published by
 *  the Free Software Foundation, either version 3 of the License, or
 *  (at your option) any later version.
 *
 *  This library is distributed in the hope that it will be useful,
 *  but WITHOUT ANY WARRANTY; without even the implied warranty of
 *  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 *  GNU Lesser General Public License for more details.
 *
 *  You should have received a copy of the GNU Lesser General Public
 *  along with this library.  If not, see <http://www.gnu.org/licenses/>.
 *
 *  @author dutka
 *  @date   2010-07-12 15:45:44 +0200 (lun. 12 juil. 2010)
 */
#ifndef OPENTURNS_DIRICHLET_HXX
#define OPENTURNS_DIRICHLET_HXX

#include "NonEllipticalDistribution.hxx"
#include "ResourceMap.hxx"

BEGIN_NAMESPACE_OPENTURNS


/**
 * @class Dirichlet
 *
 * The Dirichlet distribution.
 */
class Dirichlet
  : public NonEllipticalDistribution
{
  CLASSNAME;
public:

  /** Default constructor */
  Dirichlet();

  /** Parameters constructor */
  Dirichlet(const NumericalPoint & theta);

  /** Comparison operator */
  Bool operator ==(const Dirichlet & other) const;

  /** String converter */
  String __repr__() const;
  String __str__(const String & offset = "") const;



  /* Interface inherited from Distribution */

  /** Virtual constructor */
  Dirichlet * clone() const;

  /** Get one realization of the distribution */
  NumericalPoint getRealization() const;

  /** Get the PDF of the distribution */
  using NonEllipticalDistribution::computePDF;
  NumericalScalar computePDF(const NumericalPoint & point) const;
  using NonEllipticalDistribution::computeLogPDF;
  NumericalScalar computeLogPDF(const NumericalPoint & point) const;

  /** Get the CDF of the distribution */
  using NonEllipticalDistribution::computeCDF;
  NumericalScalar computeCDF(const NumericalPoint & point) const;
  using NonEllipticalDistribution::computeComplementaryCDF;
  NumericalScalar computeComplementaryCDF(const NumericalPoint & point) const;

  /** Get the standard deviation of the distribution */
  NumericalPoint getStandardDeviation() const;

  /** Get the skewness of the distribution */
  NumericalPoint getSkewness() const;

  /** Get the kurtosis of the distribution */
  NumericalPoint getKurtosis() const;

  /** Parameters value and description accessor */
  virtual NumericalPointWithDescriptionCollection getParametersCollection() const;
  using NonEllipticalDistribution::setParametersCollection;
  void setParametersCollection(const NumericalPointCollection & parametersCollection);

  /* Interface specific to Dirichlet */

  /** Theta accessor */
  void setTheta(const NumericalPoint & theta);
  NumericalPoint getTheta() const;

  /** Compute the PDF of Xi | X1, ..., Xi-1. x = Xi, y = (X1,...,Xi-1) */
  NumericalScalar computeConditionalPDF(const NumericalScalar x, const NumericalPoint & y) const;

  /** Compute the CDF of Xi | X1, ..., Xi-1. x = Xi, y = (X1,...,Xi-1) */
  NumericalScalar computeConditionalCDF(const NumericalScalar x, const NumericalPoint & y) const;

  /** Compute the quantile of Xi | X1, ..., Xi-1, i.e. x such that CDF(x|y) = q with x = Xi, y = (X1,...,Xi-1) */
  NumericalScalar computeConditionalQuantile(const NumericalScalar q, const NumericalPoint & y) const;

  /** Get the i-th marginal distribution */
  Implementation getMarginal(const UnsignedLong i) const;

  /** Get the distribution of the marginal distribution corresponding to indices dimensions */
  Implementation getMarginal(const Indices & indices) const;

  /** Method save() stores the object through the StorageManager */
  void save(Advocate & adv) const;

  /** Method load() reloads the object from the StorageManager */
  void load(Advocate & adv);


protected:


private:

  /** Compute the mean of the distribution */
  void computeMean() const;

  /** Compute the covariance of the distribution */
  void computeCovariance() const;

  /** Get the quantile of the distribution */
  NumericalScalar computeScalarQuantile(const NumericalScalar prob,
                                        const Bool tail = false,
                                        const NumericalScalar precision = ResourceMap::GetAsNumericalScalar("DistributionImplementation-DefaultQuantileEpsilon")) const;

  /** Compute the numerical range of the distribution given the parameters values */
  void computeRange();

  /** Update the derivative attributes */
  void update();

  /** The main parameter set of the distribution */
  NumericalPoint theta_;
  NumericalScalar sumTheta_;
  NumericalScalar normalizationFactor_;
  mutable Bool isInitializedCDF_;
  mutable NumericalPointCollection integrationNodes_;
  mutable NumericalPointCollection integrationWeights_;
}; /* class Dirichlet */


END_NAMESPACE_OPENTURNS

#endif /* OPENTURNS_DIRICHLET_HXX */