The class for testing model hypotheses. More...

#include <BCGoFTest.h>

Inheritance diagram for BCGoFTest:

Collaboration diagram for BCGoFTest:

Public Member Functions
Constructors and destructors
	BCGoFTest (const char *name)

	~BCGoFTest ()

Member functions (get)
double	GetCalculatedPValue (bool flag_histogram=false)

TH1D *	GetHistogramLogProb ()

BCModel *	GetTestModel ()

Member functions (set)
void	SetTestModel (BCModel *testmodel)

int	SetTestPoint (std::vector< double > parameters)

Member functions (miscellaneous methods)
double	LogLikelihood (const std::vector< double > &parameters)

double	LogAPrioriProbability (const std::vector< double > &)

void	MCMCUserIterationInterface ()

Public Member Functions inherited from BCModel
	BCModel (const char *name="model")

	BCModel (const BCModel &bcmodel)

virtual	~BCModel ()

BCModel &	operator= (const BCModel &bcmodel)

const std::string &	GetName () const

double	GetModelAPrioriProbability () const

double	GetModelAPosterioriProbability () const

BCDataSet *	GetDataSet () const

BCDataPoint *	GetDataPointLowerBoundaries () const

BCDataPoint *	GetDataPointUpperBoundaries () const

double	GetDataPointLowerBoundary (unsigned int index) const

double	GetDataPointUpperBoundary (unsigned int index) const

bool	GetFlagBoundaries () const

unsigned	GetNDataPoints () const

BCDataPoint *	GetDataPoint (unsigned int index) const

void	SetName (const char *name)

void	SetModelAPrioriProbability (double probability)

void	SetModelAPosterioriProbability (double probability)

virtual int	AddParameter (BCParameter *parameter)

void	SetDataSet (BCDataSet *dataset)

void	SetSingleDataPoint (BCDataPoint *datapoint)

void	SetSingleDataPoint (BCDataSet *dataset, unsigned int index)

void	SetDataBoundaries (unsigned int index, double lowerboundary, double upperboundary, bool fixed=false)

void	SetDataPointLowerBoundaries (BCDataPoint *datasetlowerboundaries)

void	SetDataPointUpperBoundaries (BCDataPoint *datasetupperboundaries)

void	SetDataPointLowerBoundary (int index, double lowerboundary)

void	SetDataPointUpperBoundary (int index, double upperboundary)

int	SetPrior (int index, TF1 *f)

int	SetPrior (const char name, TF1 f)

int	SetPriorDelta (int index, double value)

int	SetPriorDelta (const char *name, double value)

int	SetPriorGauss (int index, double mean, double sigma)

int	SetPriorGauss (const char *name, double mean, double sigma)

int	SetPriorGauss (int index, double mean, double sigmadown, double sigmaup)

int	SetPriorGauss (const char *name, double mean, double sigmadown, double sigmaup)

int	SetPrior (int index, TH1 *h, bool flag=false)

int	SetPrior (const char name, TH1 h, bool flag=false)

int	SetPriorConstant (int index)

int	SetPriorConstant (const char *name)

int	SetPriorConstantAll ()

void	Copy (const BCModel &bcmodel)

double	APrioriProbability (const std::vector< double > &parameters)

virtual double	Likelihood (const std::vector< double > &params)

double	ProbabilityNN (const std::vector< double > &params)

double	LogProbabilityNN (const std::vector< double > &parameters)

double	Probability (const std::vector< double > &parameter)

double	LogProbability (const std::vector< double > &parameter)

virtual double	SamplingFunction (const std::vector< double > &parameters)

double	Eval (const std::vector< double > &parameters)

virtual double	LogEval (const std::vector< double > &parameters)

virtual void	CorrelateDataPointValues (std::vector< double > &x)

double	GetPvalueFromChi2 (const std::vector< double > &par, int sigma_index)

double	GetPvalueFromKolmogorov (const std::vector< double > &par, int index)

double	GetPvalueFromChi2NDoF (std::vector< double > par, int sigma_index)

BCH1D *	CalculatePValue (std::vector< double > par, bool flag_histogram=false)

double	GetPValue ()

double	GetPValueNDoF ()

double	GetChi2NDoF ()

std::vector< double >	GetChi2Runs (int dataIndex, int sigmaIndex)

void	SetGoFNIterationsMax (int n)

void	SetGoFNIterationsRun (int n)

void	SetGoFNChains (int n)

double	HessianMatrixElement (const BCParameter parameter1, const BCParameter parameter2, std::vector< double > point)

void	PrintSummary ()

void	PrintResults (const char *file)

void	PrintShortFitSummary (int chi2flag=0)

void	PrintHessianMatrix (std::vector< double > parameters)

virtual double	CDF (const std::vector< double > &, int, bool)

Additional Inherited Members
Protected Attributes inherited from BCModel
std::string	fName

double	fModelAPriori

double	fModelAPosteriori

BCDataSet *	fDataSet

BCDataPoint *	fDataPointLowerBoundaries

BCDataPoint *	fDataPointUpperBoundaries

std::vector< bool >	fDataFixedValues

double	fPValue

double	fChi2NDoF

double	fPValueNDoF

bool	flag_discrete

int	fGoFNIterationsMax

int	fGoFNIterationsRun

int	fGoFNChains

std::vector< TNamed * >	fPriorContainer

bool	fPriorConstantAll

std::vector< bool >	fPriorContainerConstant

std::vector< bool >	fPriorContainerInterpolate

Detailed Description

The class for testing model hypotheses.

Author: Daniel Kollar; Kevin Kröninger

Version: 1.0

Date: 08.2008 This class is used for calculating the p-value of a model.

Definition at line 34 of file BCGoFTest.h.

Constructor & Destructor Documentation

BCGoFTest::BCGoFTest ( const char * name )

Default constructor.

Definition at line 23 of file BCGoFTest.cxx.

BCGoFTest::~BCGoFTest ( )

Default destructor.

Definition at line 52 of file BCGoFTest.cxx.

Member Function Documentation

double BCGoFTest::GetCalculatedPValue ( bool flag_histogram = false )

Calculated the p-value.

Parameters

flag_histogram A histogram is either filled or not.

Returns: p-value

Definition at line 227 of file BCGoFTest.cxx.

TH1D* BCGoFTest::GetHistogramLogProb ( )

inline

Returns: distribution of log(likelihood)

Definition at line 62 of file BCGoFTest.h.

BCModel* BCGoFTest::GetTestModel ( )

inline

Returns: pointer to the tested model

Definition at line 67 of file BCGoFTest.h.

double BCGoFTest::LogAPrioriProbability ( const std::vector< double > & parameters )

inlinevirtual

Returns natural logarithm of the prior probability. Method needs to be overloaded by the user.

Parameters

parameters A set of parameter values

Returns: The prior probability p(parameters)

See Also: GetPrior(std::vector<double> parameters)

Reimplemented from BCModel.

Definition at line 92 of file BCGoFTest.h.

double BCGoFTest::LogLikelihood ( const std::vector< double > & params )

virtual

Calculates natural logarithm of the likelihood. Method needs to be overloaded by the user.

Parameters

params A set of parameter values

Returns: Natural logarithm of the likelihood

Implements BCModel.

Definition at line 77 of file BCGoFTest.cxx.

void BCGoFTest::SetTestModel ( BCModel * testmodel )

inline

Set the model to be tested.

Parameters

testmodel pointer to the model to be tested

Definition at line 77 of file BCGoFTest.h.

int BCGoFTest::SetTestPoint ( std::vector< double > parameters )

Sets the set of parameters which the p-values is calculated for.

Parameters

parameters parameters

Returns: error code

Definition at line 123 of file BCGoFTest.cxx.

The documentation for this class was generated from the following files:

/home/beaujean/workspace/bat/BAT/BCGoFTest.h
/home/beaujean/workspace/bat/src/BCGoFTest.cxx

Public Member Functions

Additional Inherited Members

Detailed Description

Constructor & Destructor Documentation

Member Function Documentation