/usr/include/openturns/BinomialFactory.hxx is in libopenturns-dev 1.5-7build2.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
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/**
* @file BinomialFactory.hxx
* @brief Factory for Binomial distribution
*
* Copyright 2005-2015 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/>.
*
* @author dutka
* @date 2010-02-04 16:44:49 +0100 (jeu. 04 févr. 2010)
*/
#ifndef OPENTURNS_BINOMIALFACTORY_HXX
#define OPENTURNS_BINOMIALFACTORY_HXX
#include "OTprivate.hxx"
#include "DistributionImplementationFactory.hxx"
#include "Binomial.hxx"
BEGIN_NAMESPACE_OPENTURNS
/**
* @class BinomialFactory
*/
class OT_API BinomialFactory
: public DistributionImplementationFactory
{
CLASSNAME;
public:
/** Default constructor */
BinomialFactory();
/** Virtual constructor */
virtual BinomialFactory * clone() const;
/* Here is the interface that all derived class must implement */
using DistributionImplementationFactory::build;
Implementation build(const NumericalSample & sample) const;
Implementation build(const NumericalPointCollection & parameters) const;
Implementation build() const;
Binomial buildAsBinomial(const NumericalSample & sample) const;
Binomial buildAsBinomial(const NumericalPointCollection & parameters) const;
Binomial buildAsBinomial(const NumericalPointWithDescriptionCollection & parameters) const;
Binomial buildAsBinomial() const;
// private:
// Compute the log-likelihood of a sample
static NumericalScalar ComputeLogLikelihood(const UnsignedInteger n,
const NumericalScalar p,
const NumericalSample & sample);
}; /* class BinomialFactory */
END_NAMESPACE_OPENTURNS
#endif /* OPENTURNS_BINOMIALFACTORY_HXX */
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