/usr/include/openturns/LinearModel.hxx is in libopenturns-dev 1.2-2.
This file is owned by root:root, with mode 0o644.
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/**
* @file LinearModel.hxx
* @brief LinearModel implements the linear model
*
* 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 schueller
* @date 2012-02-17 19:35:43 +0100 (Fri, 17 Feb 2012)
*/
#ifndef OPENTURNS_LINEARMODEL_HXX
#define OPENTURNS_LINEARMODEL_HXX
#include "PersistentObject.hxx"
#include "Description.hxx"
#include "NumericalPoint.hxx"
#include "NumericalSample.hxx"
#include "ConfidenceInterval.hxx"
#include "PersistentCollection.hxx"
#include "Collection.hxx"
#include "TestResult.hxx"
BEGIN_NAMESPACE_OPENTURNS
/**
* @class LinearModel
*
* LinearModel implements the notion of linear model
*/
class LinearModel :
public PersistentObject
{
CLASSNAME;
public:
typedef Collection<ConfidenceInterval> ConfidenceIntervalCollection;
typedef PersistentCollection<ConfidenceInterval> ConfidenceIntervalPersistentCollection;
typedef Collection<NumericalScalar> NumericalScalarCollection;
typedef PersistentCollection<NumericalScalar> NumericalScalarPersistentCollection;
/** Default constructor is private */
LinearModel();
/** Standard constructor */
LinearModel(const NumericalPoint & vectorR,
const ConfidenceIntervalCollection & intervalsColl,
const NumericalScalarCollection & pValuesOfR);
/** Constructor from NumericalPoint */
LinearModel(const NumericalPoint & vectorR);
/** Virtual constructor */
virtual LinearModel * clone() const;
/** String converter */
String __repr__() const;
String __str__(const String & offset = "") const;
/** get vector, get intervals*/
const NumericalPoint & getRegression() const;
const ConfidenceIntervalCollection & getConfidenceIntervals() const;
const NumericalScalarCollection &getPValues() const;
/** getPredicted : build an sample of predicted values */
NumericalSample getPredicted(const NumericalSample & predictor) const;
/** getResidual */
NumericalSample getResidual(const NumericalSample & predictor,
const NumericalSample & measured) 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:
/** The estimated vector */
NumericalPoint regression_;
/** The confidence intervals */
ConfidenceIntervalPersistentCollection confidenceIntervals_;
/** The p-Values */
NumericalScalarPersistentCollection pValues_;
private:
friend class Factory<LinearModel>;
}; /* class LinearModel */
/** Comparison operator */
Bool operator ==(const LinearModel & lhs, const LinearModel & rhs);
END_NAMESPACE_OPENTURNS
#endif /* OPENTURNS_LINEARMODEL_HXX */
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