#include <BCRooInterface.h>

Inheritance diagram for BCRooInterface:

Collaboration diagram for BCRooInterface:

Public Member Functions
	BCRooInterface (const char *name="", bool fillChain=false)

void	DefineParameters ()
	Overloaded methods.

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

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

void	Initialize (RooAbsData &data, RooAbsPdf &model, RooAbsPdf &prior, const RooArgSet *params, const RooArgSet &listPOI)
	Other method of this class.

void	Initialize (const char rootFile, const char wsName="batWS", const char dataName="data", const char modelName="model", const char priorName="priorPOI", const char priorNuisanceName="priorNuisance", const char paramsName="parameters", const char listPOIName="POI")

void	SetNumBins (const char *parname, int nbins)
	set the number of histogram bins for a specific parameter

void	SetNumBins (int nbins)
	set the number of histogram bins for all parameters

void	SetupRooStatsMarkovChain ()
	setup RooStats Markov Chain

void	MCMCIterationInterface ()
	overloaded function from BCIntegrate to fill RooStats Markov Chain with every accepted step

RooStats::MarkovChain *	GetRooStatsMarkovChain ()
	return the RooStats Markov Chain (empty if corresponding constructor option not set)

RooArgSet *	GetArgSetForMarkovChain ()

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

interface allowing to run BAT on a problem/data defined in a

standard RooFit workspace format

Definition at line 23 of file BCRooInterface.h.

Member Function Documentation

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

virtual

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 209 of file BCRooInterface.cxx.

double BCRooInterface::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 193 of file BCRooInterface.cxx.

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

/home/beaujean/workspace/bat/models/base/BCRooInterface.h
/home/beaujean/workspace/bat/models/base/BCRooInterface.cxx

Public Member Functions

Additional Inherited Members

Detailed Description

standard RooFit workspace format

Member Function Documentation