/usr/include/openturns/ANCOVA.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 ANCOVA.cxx
* @brief ANCOVA implements the sensivity analysis method for correlated data
*
* 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 ladier
* @date
*/
#ifndef OPENTURNS_ANCOVA_HXX
#define OPENTURNS_ANCOVA_HXX
#include "OTprivate.hxx"
#include "FunctionalChaosResult.hxx"
BEGIN_NAMESPACE_OPENTURNS
/**
* @class ANCOVA
*
*/
class OT_API ANCOVA
{
public:
/** Some typedefs to ease reading */
typedef Collection<NumericalMathFunction> NumericalMathFunctionCollection;
/** Constructor with model */
ANCOVA(const FunctionalChaosResult & functionalChaosResult, const NumericalSample & correlatedInput);
/** Accessor to ANCOVA indices measuring uncorrelated effects */
NumericalPoint getUncorrelatedIndices(const UnsignedInteger marginalIndex = 0) const;
/** Accessor to ANCOVA indices: total parts of variance of the output due to each input */
NumericalPoint getIndices(const UnsignedInteger marginalIndex = 0) const;
private:
/** Compute the indices */
void run() const;
/** Functional chaos result */
FunctionalChaosResult functionalChaosResult_;
/** correlated Input */
NumericalSample correlatedInput_;
/** Flag to check if the indices are already computed*/
mutable Bool alreadyComputedIndices_;
/** ANCOVA indices measuring uncorrelated effects */
mutable NumericalSample uncorrelatedIndices_;
/** ANCOVA indices: total parts of variance of the output due to each input */
mutable NumericalSample indices_;
}; /* class ANCOVA */
END_NAMESPACE_OPENTURNS
#endif /* OPENTURNS_ANCOVA_HXX */
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