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/*******************************************************************************
** CalculateProbability.h
** Part of the mutual information toolbox
**
** Contains functions to calculate the probability of each state in the array
** and to calculate the probability of the joint state of two arrays
**
** Author: Adam Pocock
** Created 17/2/2010
**
** Copyright 2010 Adam Pocock, The University Of Manchester
** www.cs.manchester.ac.uk
**
** This file is part of MIToolbox.
**
** MIToolbox 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.
**
** MIToolbox 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 MIToolbox. If not, see <http://www.gnu.org/licenses/>.
**
*******************************************************************************/
#ifndef __CalculateProbability_H
#define __CalculateProbability_H
#ifdef __cplusplus
extern "C" {
#endif
typedef struct jpState
{
double *jointProbabilityVector;
int numJointStates;
double *firstProbabilityVector;
int numFirstStates;
double *secondProbabilityVector;
int numSecondStates;
} JointProbabilityState;
typedef struct pState
{
double *probabilityVector;
int numStates;
} ProbabilityState;
/*******************************************************************************
** calculateJointProbability returns the joint probability vector of two vectors
** and the marginal probability vectors in a struct.
** It is the base operation for all information theory calculations involving
** two or more variables.
**
** length(firstVector) == length(secondVector) == vectorLength otherwise there
** will be a segmentation fault
*******************************************************************************/
JointProbabilityState calculateJointProbability(double *firstVector, double *secondVector, int vectorLength);
/*******************************************************************************
** calculateProbability returns the probability vector from one vector.
** It is the base operation for all information theory calculations involving
** one variable
**
** length(dataVector) == vectorLength otherwise there
** will be a segmentation fault
*******************************************************************************/
ProbabilityState calculateProbability(double *dataVector, int vectorLength);
#ifdef __cplusplus
}
#endif
#endif
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