/usr/include/openturns/LinearModel.hxx is in libopenturns-dev 0.15-2.
This file is owned by root:root, with mode 0o644.
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/**
* @file LinearModel.hxx
* @brief LinearModel implements the linear model
*
* (C) Copyright 2005-2011 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 2.1 of the License.
*
* 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
* License along with this library; if not, write to the Free Software
* Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
*
* @author: $LastChangedBy: schueller $
* @date: $LastChangedDate: 2011-04-11 12:32:27 +0200 (Mon, 11 Apr 2011) $
* Id: $Id: LinearModel.hxx 1866 2011-04-11 10:32:27Z schueller $
*/
#ifndef OPENTURNS_LINEARMODEL_HXX
#define OPENTURNS_LINEARMODEL_HXX
#include "PersistentObject.hxx"
#include "Description.hxx"
#include "NumericalPoint.hxx"
#include "NumericalSample.hxx"
#include "Exception.hxx"
#include "ConfidenceInterval.hxx"
#include "PersistentCollection.hxx"
#include "Collection.hxx"
#include "TestResult.hxx"
namespace OpenTURNS
{
namespace Base
{
namespace Stat
{
/**
* @class LinearModel
*
* LinearModel implements the notion of linear model
*/
class LinearModel :
public Common::PersistentObject
{
CLASSNAME;
public:
typedef Common::InvalidArgumentException InvalidArgumentException;
typedef Type::Description Description;
typedef Type::NumericalPoint NumericalPoint;
typedef Type::Collection<Stat::ConfidenceInterval> ConfidenceIntervalCollection;
typedef Type::PersistentCollection<Stat::ConfidenceInterval> ConfidenceIntervalPersistentCollection;
typedef Type::Collection<NumericalScalar> NumericalScalarCollection;
typedef Type::PersistentCollection<NumericalScalar> NumericalScalarPersistentCollection;
typedef Common::StorageManager StorageManager;
/** Default constructor is private */
LinearModel();
/** Standard constructor */
LinearModel(const NumericalPoint & vectorR,
const ConfidenceIntervalCollection & intervalsColl,
const NumericalScalarCollection & pValuesOfR) /* throw(InvalidArgumentException) */;
/** 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 /* throw(InvalidArgumentException) */;
/** getResidual */
NumericalSample getResidual(const NumericalSample & predictor,
const NumericalSample & measured) const /* throw(InvalidArgumentException) */;
/** Method save() stores the object through the StorageManager */
void save(StorageManager::Advocate & adv) const;
/** Method load() reloads the object from the StorageManager */
void load(StorageManager::Advocate & adv);
protected:
/** The estimated vector */
NumericalPoint regression_;
/** The confidence intervals */
ConfidenceIntervalPersistentCollection confidenceIntervals_;
/** The p-Values */
NumericalScalarPersistentCollection pValues_;
private:
friend class Common::Factory<LinearModel>;
}; /* class LinearModel */
/** Comparison operator */
Bool operator ==(const LinearModel & lhs, const LinearModel & rhs);
} /* namespace Stat */
} /* namespace Base */
} /* namespace OpenTURNS */
#endif /* OPENTURNS_LINEARMODEL_HXX */
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