/usr/include/openturns/CopulaImplementation.hxx is in libopenturns-dev 1.9-5.
This file is owned by root:root, with mode 0o644.
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/**
* @brief Abstract top-level class for all copula
*
* Copyright 2005-2017 Airbus-EDF-IMACS-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/>.
*
*/
#ifndef OPENTURNS_COPULAIMPLEMENTATION_HXX
#define OPENTURNS_COPULAIMPLEMENTATION_HXX
#include "openturns/OTprivate.hxx"
#include "openturns/ContinuousDistribution.hxx"
BEGIN_NAMESPACE_OPENTURNS
/**
* @class CopulaImplementation
*/
class OT_API CopulaImplementation
: public ContinuousDistribution
{
CLASSNAME;
public:
/** Default constructor */
CopulaImplementation();
/** Virtual constructor */
virtual CopulaImplementation * clone() const;
/** Comparison operator */
Bool operator ==(const CopulaImplementation & other) const;
protected:
Bool equals(const DistributionImplementation & other) const;
public:
/** Compute the survival function */
virtual Scalar computeSurvivalFunction(const Point & point) const;
/** Get the mean of the copula */
Point getMean() const;
/** Get the Spearman correlation of the copula */
CorrelationMatrix getSpearmanCorrelation() const;
/** Get the Kendall concordance of the copula */
CorrelationMatrix getKendallTau() const;
/** Get the standard deviation of the copula */
Point getStandardDeviation() const;
/** Get the skewness of the copula */
Point getSkewness() const;
/** Get the kurtosis of the copula */
Point getKurtosis() const;
/** Get the i-th marginal copula */
using ContinuousDistribution::getMarginal;
#ifndef SWIG
Implementation getMarginal(const UnsignedInteger i) const;
#endif
/** Get the copula */
Implementation getCopula() const;
/** String converter */
String __repr__() const;
/* Methods inherited from upper classes */
/** Generic implementation of the quantile computation for continuous copulas */
Point computeQuantile(const Scalar prob,
const Bool tail = false) const;
protected:
/** Compute the covariance of the copula */
void computeCovariance() const;
/** Compute the mathematical and numerical range of the copula.
Its mathematical range is the smallest closed interval outside
of which the PDF is zero, and the numerical range is the interval
outside of which the PDF is rounded to zero in double precision */
void computeRange();
private:
// Structure used to implement the computeQuantile() method efficiently
struct QuantileWrapper
{
QuantileWrapper(const DistributionImplementation * p_distribution)
: p_distribution_(p_distribution)
, dimension_(p_distribution->getDimension())
{
// Nothing to do
}
Point computeDiagonal(const Point & u) const
{
const Point point(dimension_, u[0]);
const Scalar cdf = p_distribution_->computeCDF(point);
const Point value(1, cdf);
return value;
}
const DistributionImplementation * p_distribution_;
const UnsignedInteger dimension_;
}; // struct QuantileWrapper
}; /* class CopulaImplementation */
END_NAMESPACE_OPENTURNS
#endif /* OPENTURNS_COPULAIMPLEMENTATION_HXX */
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