Common base class for the Hypothesis Test Calculators.

It is not designed to use directly but via its derived classes

Same purpose as HybridCalculatorOriginal, but different implementation.

This is the "generic" version that works with any TestStatSampler. The HybridCalculator derives from this class but explicitly uses the ToyMCSampler as its TestStatSampler.

Definition at line 34 of file HypoTestCalculatorGeneric.h.

Public Member Functions
	HypoTestCalculatorGeneric (const RooAbsData &data, const ModelConfig &altModel, const ModelConfig &nullModel, TestStatSampler *sampler=0)
	Constructor.

	~HypoTestCalculatorGeneric ()

const ModelConfig *	GetAlternateModel (void) const

const RooAbsData *	GetData (void) const

virtual const RooArgSet *	GetFitInfo () const

virtual HypoTestResult *	GetHypoTest () const
	inherited methods from HypoTestCalculator interface

const ModelConfig *	GetNullModel (void) const

TestStatSampler *	GetTestStatSampler (void) const
	Returns instance of TestStatSampler.

virtual void	SetAlternateModel (const ModelConfig &altModel)
	Set the model for the alternate hypothesis (S+B)

virtual void	SetData (RooAbsData &data)
	Set the DataSet.

virtual void	SetNullModel (const ModelConfig &nullModel)

void	UseSameAltToys ()
	Set this for re-using always the same toys for alternate hypothesis in case of calls at different null parameter points This is useful to get more stable bands when running the HypoTest inversion.

Public Member Functions inherited from RooStats::HypoTestCalculator
virtual	~HypoTestCalculator ()

virtual void	SetCommonModel (const ModelConfig &model)

Protected Member Functions
virtual int	CheckHook (void) const

virtual void	PostHook () const

virtual int	PreAltHook (RooArgSet *, double) const

virtual void	PreHook () const

virtual int	PreNullHook (RooArgSet *, double) const

Protected Attributes
const ModelConfig *	fAltModel

unsigned int	fAltToysSeed

const RooAbsData *	fData

TestStatSampler *	fDefaultSampler

TestStatistic *	fDefaultTestStat

const ModelConfig *	fNullModel

TestStatSampler *	fTestStatSampler

Private Member Functions
SamplingDistribution *	GenerateSamplingDistribution (ModelConfig thisModel, double obsTestStat, RooAbsPdf impDens=NULL, const RooArgSet *impSnapshot=NULL) const

void	SetAdaptiveLimits (Double_t obsTestStat, Bool_t forNull) const

void	SetupSampler (const ModelConfig &model) const
	common setup for both models

#include <RooStats/HypoTestCalculatorGeneric.h>

Inheritance diagram for RooStats::HypoTestCalculatorGeneric:

[legend]

Constructor & Destructor Documentation

◆ HypoTestCalculatorGeneric()

HypoTestCalculatorGeneric::HypoTestCalculatorGeneric	(	const RooAbsData &	data,
		const ModelConfig &	altModel,
		const ModelConfig &	nullModel,
		TestStatSampler *	sampler = `0`
	)

Constructor.

When test stat sampler is not provided uses ToyMCSampler and RatioOfProfiledLikelihoodsTestStat and nToys = 1000. User can : GetTestStatSampler()->SetNToys( # )

Definition at line 47 of file HypoTestCalculatorGeneric.cxx.

◆ ~HypoTestCalculatorGeneric()

HypoTestCalculatorGeneric::~HypoTestCalculatorGeneric ( )

Definition at line 93 of file HypoTestCalculatorGeneric.cxx.

Member Function Documentation

◆ CheckHook()

virtual int RooStats::HypoTestCalculatorGeneric::CheckHook ( void ) const

inlineprotectedvirtual

Reimplemented in RooStats::HybridCalculator.

Definition at line 76 of file HypoTestCalculatorGeneric.h.

◆ GenerateSamplingDistribution()

SamplingDistribution * RooStats::HypoTestCalculatorGeneric::GenerateSamplingDistribution	(	ModelConfig *	thisModel,
		double	obsTestStat,
		RooAbsPdf *	impDens = `NULL`,
		const RooArgSet *	impSnapshot = `NULL`
	)		const

private

◆ GetAlternateModel()

const ModelConfig * RooStats::HypoTestCalculatorGeneric::GetAlternateModel ( void ) const

inline

Definition at line 60 of file HypoTestCalculatorGeneric.h.

◆ GetData()

const RooAbsData * RooStats::HypoTestCalculatorGeneric::GetData ( void ) const

inline

Definition at line 55 of file HypoTestCalculatorGeneric.h.

◆ GetFitInfo()

virtual const RooArgSet * RooStats::HypoTestCalculatorGeneric::GetFitInfo ( ) const

inlinevirtual

Reimplemented in RooStats::FrequentistCalculator.

Definition at line 57 of file HypoTestCalculatorGeneric.h.

◆ GetHypoTest()

HypoTestResult * HypoTestCalculatorGeneric::GetHypoTest ( ) const

virtual

inherited methods from HypoTestCalculator interface

several possibilities: no prior nuisance given and no nuisance parameters: ok no prior nuisance given but nuisance parameters: error prior nuisance given for some nuisance parameters:

nuisance parameters are constant, so they don't float in test statistic
nuisance parameters are floating, so they do float in test statistic

Implements RooStats::HypoTestCalculator.

Reimplemented in RooStats::AsymptoticCalculator.

Definition at line 106 of file HypoTestCalculatorGeneric.cxx.

◆ GetNullModel()

const ModelConfig * RooStats::HypoTestCalculatorGeneric::GetNullModel ( void ) const

inline

Definition at line 56 of file HypoTestCalculatorGeneric.h.

◆ GetTestStatSampler()

TestStatSampler * RooStats::HypoTestCalculatorGeneric::GetTestStatSampler ( void ) const

inline

Returns instance of TestStatSampler.

Use to change properties of TestStatSampler, e.g. GetTestStatSampler.SetTestSize(Double_t size);

Definition at line 66 of file HypoTestCalculatorGeneric.h.

◆ PostHook()

virtual void RooStats::HypoTestCalculatorGeneric::PostHook ( ) const

inlineprotectedvirtual

Reimplemented in RooStats::FrequentistCalculator.

Definition at line 80 of file HypoTestCalculatorGeneric.h.

◆ PreAltHook()

virtual int RooStats::HypoTestCalculatorGeneric::PreAltHook	(	RooArgSet *	,
		double
	)		const

inlineprotectedvirtual

Reimplemented in RooStats::HybridCalculator, and RooStats::FrequentistCalculator.

Definition at line 78 of file HypoTestCalculatorGeneric.h.

◆ PreHook()

virtual void RooStats::HypoTestCalculatorGeneric::PreHook ( ) const

inlineprotectedvirtual

Reimplemented in RooStats::FrequentistCalculator.

Definition at line 79 of file HypoTestCalculatorGeneric.h.

◆ PreNullHook()

virtual int RooStats::HypoTestCalculatorGeneric::PreNullHook	(	RooArgSet *	,
		double
	)		const

inlineprotectedvirtual

Reimplemented in RooStats::HybridCalculator, and RooStats::FrequentistCalculator.

Definition at line 77 of file HypoTestCalculatorGeneric.h.

◆ SetAdaptiveLimits()

void RooStats::HypoTestCalculatorGeneric::SetAdaptiveLimits	(	Double_t	obsTestStat,
		Bool_t	forNull
	)		const

private

◆ SetAlternateModel()

virtual void RooStats::HypoTestCalculatorGeneric::SetAlternateModel ( const ModelConfig & altModel )

inlinevirtual

Set the model for the alternate hypothesis (S+B)

Implements RooStats::HypoTestCalculator.

Reimplemented in RooStats::AsymptoticCalculator, and RooStats::HybridCalculator.

Definition at line 59 of file HypoTestCalculatorGeneric.h.

◆ SetData()

virtual void RooStats::HypoTestCalculatorGeneric::SetData ( RooAbsData & data )

inlinevirtual

Set the DataSet.

Implements RooStats::HypoTestCalculator.

Reimplemented in RooStats::AsymptoticCalculator.

Definition at line 62 of file HypoTestCalculatorGeneric.h.

◆ SetNullModel()

virtual void RooStats::HypoTestCalculatorGeneric::SetNullModel ( const ModelConfig & nullModel )

inlinevirtual

Implements RooStats::HypoTestCalculator.

Reimplemented in RooStats::AsymptoticCalculator, and RooStats::HybridCalculator.

Definition at line 54 of file HypoTestCalculatorGeneric.h.

◆ SetupSampler()

void HypoTestCalculatorGeneric::SetupSampler ( const ModelConfig & model ) const

private

common setup for both models

Definition at line 77 of file HypoTestCalculatorGeneric.cxx.

◆ UseSameAltToys()

void HypoTestCalculatorGeneric::UseSameAltToys ( )

Set this for re-using always the same toys for alternate hypothesis in case of calls at different null parameter points This is useful to get more stable bands when running the HypoTest inversion.

to re-use same toys for alternate hypothesis

Definition at line 259 of file HypoTestCalculatorGeneric.cxx.