ToyMCSampler is an implementation of the TestStatSampler interface.

It generates Toy Monte Carlo for a given parameter point and evaluates a TestStatistic.

For parallel runs, ToyMCSampler can be given an instance of ProofConfig and then run in parallel using proof or proof-lite. Internally, it uses ToyMCStudy with the RooStudyManager.

Definition at line 67 of file ToyMCSampler.h.

Public Member Functions
	ToyMCSampler ()
	Proof constructor. Do not use.

	ToyMCSampler (TestStatistic &ts, Int_t ntoys)

virtual	~ToyMCSampler ()

virtual void	AddTestStatistic (TestStatistic *t=NULL)

virtual SamplingDistribution *	AppendSamplingDistribution (RooArgSet &allParameters, SamplingDistribution *last, Int_t additionalMC)
	Extended interface to append to sampling distribution more samples.

Bool_t	CheckConfig (void)
	only checks, no guessing/determination (do this in calculators, e.g.

virtual Double_t	ConfidenceLevel () const

virtual RooArgList *	EvaluateAllTestStatistics (RooAbsData &data, const RooArgSet &poi)
	Evaluate all test statistics, returning result and any detailed output.

virtual Double_t	EvaluateTestStatistic (RooAbsData &data, RooArgSet &nullPOI)

virtual Double_t	EvaluateTestStatistic (RooAbsData &data, RooArgSet &nullPOI, int i)

virtual void	GenerateGlobalObservables (RooAbsPdf &pdf) const

virtual RooAbsData *	GenerateToyData (RooArgSet &paramPoint) const

virtual RooAbsData *	GenerateToyData (RooArgSet &paramPoint, double &weight) const

virtual RooAbsData *	GenerateToyData (RooArgSet &paramPoint, double &weight, RooAbsPdf &pdf) const
	This method generates a toy data set for the given parameter point taking global observables into account.

virtual RooAbsData *	GenerateToyData (RooArgSet &paramPoint, RooAbsPdf &pdf) const

virtual Int_t	GetNToys (void)

std::string	GetSamplingDistName (void)

virtual SamplingDistribution *	GetSamplingDistribution (RooArgSet &paramPoint)

virtual RooDataSet *	GetSamplingDistributions (RooArgSet &paramPoint)
	Use for serial and parallel runs.

virtual RooDataSet *	GetSamplingDistributionsSingleWorker (RooArgSet &paramPoint)
	This is the main function for serial runs.

virtual TestStatistic *	GetTestStatistic (unsigned int i) const

virtual TestStatistic *	GetTestStatistic (void) const

virtual void	Initialize (RooAbsArg &, RooArgSet &, RooArgSet &)

virtual void	SetAsimovNuisancePar (Bool_t i=kTRUE)

virtual void	SetConfidenceLevel (Double_t cl)

virtual void	SetExpectedNuisancePar (Bool_t i=kTRUE)

void	SetGenerateAutoBinned (Bool_t autoBinned=kTRUE)

void	SetGenerateBinned (bool binned=true)

void	SetGenerateBinnedTag (const char *binnedTag="")

virtual void	SetGlobalObservables (const RooArgSet &o)

void	SetMaxToys (Double_t t)

virtual void	SetNEventsPerToy (const Int_t nevents)
	Forces the generation of exactly `n` events even for extended PDFs.

virtual void	SetNToys (const Int_t ntoy)

virtual void	SetNuisanceParameters (const RooArgSet &np)

virtual void	SetObservables (const RooArgSet &o)

virtual void	SetParametersForTestStat (const RooArgSet &nullpoi)

virtual void	SetPdf (RooAbsPdf &pdf)

virtual void	SetPriorNuisance (RooAbsPdf *pdf)

void	SetProofConfig (ProofConfig *pc=NULL)

void	SetProtoData (const RooDataSet *d)

void	SetSamplingDistName (const char *name)

virtual void	SetTestSize (Double_t size)

virtual void	SetTestStatistic (TestStatistic *t)

virtual void	SetTestStatistic (TestStatistic *testStatistic, unsigned int i)

void	SetToysBothTails (Double_t toys, Double_t low_threshold, Double_t high_threshold)

void	SetToysLeftTail (Double_t toys, Double_t threshold)

void	SetToysRightTail (Double_t toys, Double_t threshold)

void	SetUseMultiGen (Bool_t flag)

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

Static Public Member Functions
static void	SetAlwaysUseMultiGen (Bool_t flag)

Protected Member Functions
virtual void	ClearCache ()
	clear the cache obtained from the pdf used for speeding the toy and global observables generation needs to be called every time the model pdf (fPdf) changes

const RooArgList *	EvaluateAllTestStatistics (RooAbsData &data, const RooArgSet &poi, DetailedOutputAggregator &detOutAgg)

RooAbsData *	Generate (RooAbsPdf &pdf, RooArgSet &observables, const RooDataSet *protoData=NULL, int forceEvents=0) const
	This is the generate function to use in the context of the ToyMCSampler instead of the standard RooAbsPdf::generate(...).

Protected Attributes
std::unique_ptr< RooArgSet >	_allVars

std::unique_ptr< RooAbsPdf::GenSpec >	_gs1

std::unique_ptr< RooAbsPdf::GenSpec >	_gs2
	GenSpec #1.

std::unique_ptr< RooAbsPdf::GenSpec >	_gs3
	GenSpec #2.

std::unique_ptr< RooAbsPdf::GenSpec >	_gs4
	GenSpec #3.

std::vector< std::unique_ptr< RooAbsPdf::GenSpec > >	_gsList

std::vector< std::unique_ptr< RooArgSet > >	_obsList
	We don't own those objects.

std::vector< RooAbsPdf * >	_pdfList

Double_t	fAdaptiveHighLimit

Double_t	fAdaptiveLowLimit

Bool_t	fExpectedNuisancePar

Bool_t	fGenerateAutoBinned

Bool_t	fGenerateBinned

TString	fGenerateBinnedTag

const RooArgSet *	fGlobalObservables

Double_t	fMaxToys

Int_t	fNEvents

Int_t	fNToys

NuisanceParametersSampler *	fNuisanceParametersSampler

const RooArgSet *	fNuisancePars

const RooArgSet *	fObservables

std::unique_ptr< const RooArgSet >	fParametersForTestStat

RooAbsPdf *	fPdf

RooAbsPdf *	fPriorNuisance

ProofConfig *	fProofConfig

const RooDataSet *	fProtoData

std::string	fSamplingDistName

Double_t	fSize

std::vector< TestStatistic * >	fTestStatistics

Double_t	fToysInTails

Bool_t	fUseMultiGen

Static Protected Attributes
static Bool_t	fgAlwaysUseMultiGen = kFALSE
	GenSpec #4.

#include <RooStats/ToyMCSampler.h>

Inheritance diagram for RooStats::ToyMCSampler:

[legend]

Constructor & Destructor Documentation

◆ ToyMCSampler() [1/2]

RooStats::ToyMCSampler::ToyMCSampler ( )

Proof constructor. Do not use.

Definition at line 151 of file ToyMCSampler.cxx.

◆ ToyMCSampler() [2/2]

RooStats::ToyMCSampler::ToyMCSampler	(	TestStatistic &	ts,
		Int_t	ntoys
	)

Definition at line 185 of file ToyMCSampler.cxx.

◆ ~ToyMCSampler()

RooStats::ToyMCSampler::~ToyMCSampler ( )

virtual

Definition at line 220 of file ToyMCSampler.cxx.

Member Function Documentation

◆ AddTestStatistic()

virtual void RooStats::ToyMCSampler::AddTestStatistic ( TestStatistic * t = NULL )

inlinevirtual

Definition at line 93 of file ToyMCSampler.h.

◆ AppendSamplingDistribution()

SamplingDistribution * RooStats::ToyMCSampler::AppendSamplingDistribution	(	RooArgSet &	allParameters,
		SamplingDistribution *	last,
		Int_t	additionalMC
	)

virtual

Extended interface to append to sampling distribution more samples.

Definition at line 669 of file ToyMCSampler.cxx.

◆ CheckConfig()

Bool_t RooStats::ToyMCSampler::CheckConfig ( void )

only checks, no guessing/determination (do this in calculators, e.g.

using ModelConfig::GuessObsAndNuisance(...))

Definition at line 230 of file ToyMCSampler.cxx.

◆ ClearCache()

void RooStats::ToyMCSampler::ClearCache ( void )

protectedvirtual

clear the cache obtained from the pdf used for speeding the toy and global observables generation needs to be called every time the model pdf (fPdf) changes

Reimplemented in RooStats::ToyMCImportanceSampler.

Definition at line 692 of file ToyMCSampler.cxx.

◆ ConfidenceLevel()

virtual Double_t RooStats::ToyMCSampler::ConfidenceLevel ( ) const

inlinevirtual

Implements RooStats::TestStatSampler.

Definition at line 134 of file ToyMCSampler.h.

◆ EvaluateAllTestStatistics() [1/2]

RooArgList * RooStats::ToyMCSampler::EvaluateAllTestStatistics	(	RooAbsData &	data,
		const RooArgSet &	poi
	)

virtual

Evaluate all test statistics, returning result and any detailed output.

PDF parameter values are saved in case they are modified by TestStatistic::Evaluate (eg. SimpleLikelihoodRatioTestStat).

Definition at line 254 of file ToyMCSampler.cxx.

◆ EvaluateAllTestStatistics() [2/2]

const RooArgList * RooStats::ToyMCSampler::EvaluateAllTestStatistics	(	RooAbsData &	data,
		const RooArgSet &	poi,
		DetailedOutputAggregator &	detOutAgg
	)

protected

Definition at line 264 of file ToyMCSampler.cxx.

◆ EvaluateTestStatistic() [1/2]

virtual Double_t RooStats::ToyMCSampler::EvaluateTestStatistic	(	RooAbsData &	data,
		RooArgSet &	nullPOI
	)

inlinevirtual

Implements RooStats::TestStatSampler.

Definition at line 124 of file ToyMCSampler.h.

◆ EvaluateTestStatistic() [2/2]

virtual Double_t RooStats::ToyMCSampler::EvaluateTestStatistic	(	RooAbsData &	data,
		RooArgSet &	nullPOI,
		int	i
	)

inlinevirtual

Definition at line 121 of file ToyMCSampler.h.

◆ Generate()

RooAbsData * RooStats::ToyMCSampler::Generate	(	RooAbsPdf &	pdf,
		RooArgSet &	observables,
		const RooDataSet *	protoData = `NULL`,
		int	forceEvents = `0`
	)		const

protected

This is the generate function to use in the context of the ToyMCSampler instead of the standard RooAbsPdf::generate(...).

It takes into account whether the number of events is given explicitly or whether it should use the expected number of events. It also takes into account the option to generate a binned data set (i.e. RooDataHist).

Definition at line 598 of file ToyMCSampler.cxx.

◆ GenerateGlobalObservables()

void RooStats::ToyMCSampler::GenerateGlobalObservables ( RooAbsPdf & pdf ) const

virtual

Definition at line 461 of file ToyMCSampler.cxx.

◆ GenerateToyData() [1/4]

virtual RooAbsData * RooStats::ToyMCSampler::GenerateToyData ( RooArgSet & paramPoint ) const

inlinevirtual

Reimplemented in RooStats::ToyMCImportanceSampler.

Definition at line 111 of file ToyMCSampler.h.

◆ GenerateToyData() [2/4]

virtual RooAbsData * RooStats::ToyMCSampler::GenerateToyData	(	RooArgSet &	paramPoint,
		double &	weight
	)		const

inlinevirtual

Reimplemented in RooStats::ToyMCImportanceSampler, and RooStats::ToyMCImportanceSampler.

Definition at line 114 of file ToyMCSampler.h.

◆ GenerateToyData() [3/4]

RooAbsData * RooStats::ToyMCSampler::GenerateToyData	(	RooArgSet &	paramPoint,
		double &	weight,
		RooAbsPdf &	pdf
	)		const

virtual

This method generates a toy data set for the given parameter point taking global observables into account.

The values of the generated global observables remain in the pdf's variables. They have to have those values for the subsequent evaluation of the test statistics.

Reimplemented in RooStats::ToyMCImportanceSampler.

Definition at line 530 of file ToyMCSampler.cxx.

◆ GenerateToyData() [4/4]

virtual RooAbsData * RooStats::ToyMCSampler::GenerateToyData	(	RooArgSet &	paramPoint,
		RooAbsPdf &	pdf
	)		const

inlinevirtual

Reimplemented in RooStats::ToyMCImportanceSampler.

Definition at line 106 of file ToyMCSampler.h.

◆ GetNToys()

virtual Int_t RooStats::ToyMCSampler::GetNToys ( void )

inlinevirtual

Definition at line 141 of file ToyMCSampler.h.

◆ GetSamplingDistName()

std::string RooStats::ToyMCSampler::GetSamplingDistName ( void )

inline

Definition at line 206 of file ToyMCSampler.h.

◆ GetSamplingDistribution()

SamplingDistribution * RooStats::ToyMCSampler::GetSamplingDistribution ( RooArgSet & paramPoint )

virtual

Implements RooStats::TestStatSampler.

Definition at line 290 of file ToyMCSampler.cxx.

◆ GetSamplingDistributions()

RooDataSet * RooStats::ToyMCSampler::GetSamplingDistributions ( RooArgSet & paramPoint )

virtual

Use for serial and parallel runs.

Definition at line 312 of file ToyMCSampler.cxx.

◆ GetSamplingDistributionsSingleWorker()

RooDataSet * RooStats::ToyMCSampler::GetSamplingDistributionsSingleWorker ( RooArgSet & paramPointIn )

virtual

This is the main function for serial runs.

It is called automatically from inside GetSamplingDistribution when no ProofConfig is given. You should not call this function yourself. This function should be used by ToyMCStudy on the workers (ie. when you explicitly want a serial run although ProofConfig is present).

Reimplemented in RooStats::ToyMCImportanceSampler.

Definition at line 367 of file ToyMCSampler.cxx.

◆ GetTestStatistic() [1/2]

virtual TestStatistic * RooStats::ToyMCSampler::GetTestStatistic ( unsigned int i ) const

inlinevirtual

Definition at line 128 of file ToyMCSampler.h.

◆ GetTestStatistic() [2/2]

virtual TestStatistic * RooStats::ToyMCSampler::GetTestStatistic ( void ) const

inlinevirtual

Implements RooStats::TestStatSampler.

Definition at line 132 of file ToyMCSampler.h.

◆ Initialize()

virtual void RooStats::ToyMCSampler::Initialize	(	RooAbsArg &	,
		RooArgSet &	,
		RooArgSet &
	)

inlinevirtual

Implements RooStats::TestStatSampler.

Definition at line 135 of file ToyMCSampler.h.

◆ SetAlwaysUseMultiGen()

void RooStats::ToyMCSampler::SetAlwaysUseMultiGen ( Bool_t flag )

static

Definition at line 146 of file ToyMCSampler.cxx.

◆ SetAsimovNuisancePar()

virtual void RooStats::ToyMCSampler::SetAsimovNuisancePar ( Bool_t i = kTRUE )

inlinevirtual

Definition at line 192 of file ToyMCSampler.h.

◆ SetConfidenceLevel()

virtual void RooStats::ToyMCSampler::SetConfidenceLevel ( Double_t cl )

inlinevirtual

Implements RooStats::TestStatSampler.

Definition at line 176 of file ToyMCSampler.h.

◆ SetExpectedNuisancePar()

virtual void RooStats::ToyMCSampler::SetExpectedNuisancePar ( Bool_t i = kTRUE )

inlinevirtual

Definition at line 191 of file ToyMCSampler.h.

◆ SetGenerateAutoBinned()

void RooStats::ToyMCSampler::SetGenerateAutoBinned ( Bool_t autoBinned = kTRUE )

inline

Definition at line 202 of file ToyMCSampler.h.

◆ SetGenerateBinned()

void RooStats::ToyMCSampler::SetGenerateBinned ( bool binned = true )

inline

Definition at line 198 of file ToyMCSampler.h.

◆ SetGenerateBinnedTag()

void RooStats::ToyMCSampler::SetGenerateBinnedTag ( const char * binnedTag = "" )

inline

Definition at line 200 of file ToyMCSampler.h.

◆ SetGlobalObservables()

virtual void RooStats::ToyMCSampler::SetGlobalObservables ( const RooArgSet & o )

inlinevirtual

Implements RooStats::TestStatSampler.

Definition at line 170 of file ToyMCSampler.h.

◆ SetMaxToys()

void RooStats::ToyMCSampler::SetMaxToys ( Double_t t )

inline

Definition at line 209 of file ToyMCSampler.h.

◆ SetNEventsPerToy()

virtual void RooStats::ToyMCSampler::SetNEventsPerToy ( const Int_t nevents )

inlinevirtual

Forces the generation of exactly n events even for extended PDFs.

Set to 0 to use the Poisson-distributed events from the extended PDF.

Definition at line 145 of file ToyMCSampler.h.

◆ SetNToys()

virtual void RooStats::ToyMCSampler::SetNToys ( const Int_t ntoy )

inlinevirtual

Definition at line 142 of file ToyMCSampler.h.

◆ SetNuisanceParameters()

virtual void RooStats::ToyMCSampler::SetNuisanceParameters ( const RooArgSet & np )

inlinevirtual

Implements RooStats::TestStatSampler.

Definition at line 166 of file ToyMCSampler.h.

◆ SetObservables()

virtual void RooStats::ToyMCSampler::SetObservables ( const RooArgSet & o )

inlinevirtual

Implements RooStats::TestStatSampler.

Definition at line 168 of file ToyMCSampler.h.

◆ SetParametersForTestStat()

virtual void RooStats::ToyMCSampler::SetParametersForTestStat ( const RooArgSet & nullpoi )

inlinevirtual

Implements RooStats::TestStatSampler.

Reimplemented in RooStats::ToyMCImportanceSampler.

Definition at line 151 of file ToyMCSampler.h.

◆ SetPdf()

virtual void RooStats::ToyMCSampler::SetPdf ( RooAbsPdf & pdf )

inlinevirtual

Implements RooStats::TestStatSampler.

Reimplemented in RooStats::ToyMCImportanceSampler.

Definition at line 155 of file ToyMCSampler.h.

◆ SetPriorNuisance()

virtual void RooStats::ToyMCSampler::SetPriorNuisance ( RooAbsPdf * pdf )

inlinevirtual

Implements RooStats::TestStatSampler.

Definition at line 158 of file ToyMCSampler.h.

◆ SetProofConfig()

void RooStats::ToyMCSampler::SetProofConfig ( ProofConfig * pc = NULL )

inline

Definition at line 228 of file ToyMCSampler.h.

◆ SetProtoData()

void RooStats::ToyMCSampler::SetProtoData ( const RooDataSet * d )

inline

Definition at line 230 of file ToyMCSampler.h.

◆ SetSamplingDistName()

void RooStats::ToyMCSampler::SetSamplingDistName ( const char * name )

inlinevirtual

Implements RooStats::TestStatSampler.

Definition at line 205 of file ToyMCSampler.h.

◆ SetTestSize()

virtual void RooStats::ToyMCSampler::SetTestSize ( Double_t size )

inlinevirtual

Implements RooStats::TestStatSampler.

Definition at line 174 of file ToyMCSampler.h.

◆ SetTestStatistic() [1/2]

virtual void RooStats::ToyMCSampler::SetTestStatistic ( TestStatistic * t )

inlinevirtual

Implements RooStats::TestStatSampler.

Definition at line 189 of file ToyMCSampler.h.

◆ SetTestStatistic() [2/2]

virtual void RooStats::ToyMCSampler::SetTestStatistic	(	TestStatistic *	testStatistic,
		unsigned int	i
	)

inlinevirtual

Definition at line 179 of file ToyMCSampler.h.

◆ SetToysBothTails()

void RooStats::ToyMCSampler::SetToysBothTails	(	Double_t	toys,
		Double_t	low_threshold,
		Double_t	high_threshold
	)

inline

Definition at line 221 of file ToyMCSampler.h.

◆ SetToysLeftTail()

void RooStats::ToyMCSampler::SetToysLeftTail	(	Double_t	toys,
		Double_t	threshold
	)

inline

Definition at line 211 of file ToyMCSampler.h.

◆ SetToysRightTail()

void RooStats::ToyMCSampler::SetToysRightTail	(	Double_t	toys,
		Double_t	threshold
	)

inline

Definition at line 216 of file ToyMCSampler.h.

◆ SetUseMultiGen()

void RooStats::ToyMCSampler::SetUseMultiGen ( Bool_t flag )

inline

Definition at line 77 of file ToyMCSampler.h.

Member Data Documentation

◆ _allVars

std::unique_ptr<RooArgSet> RooStats::ToyMCSampler::_allVars

mutableprotected

Definition at line 279 of file ToyMCSampler.h.

◆ _gs1

std::unique_ptr<RooAbsPdf::GenSpec> RooStats::ToyMCSampler::_gs1

mutableprotected

Definition at line 283 of file ToyMCSampler.h.

◆ _gs2

std::unique_ptr<RooAbsPdf::GenSpec> RooStats::ToyMCSampler::_gs2

mutableprotected

GenSpec #1.

Definition at line 284 of file ToyMCSampler.h.

◆ _gs3

std::unique_ptr<RooAbsPdf::GenSpec> RooStats::ToyMCSampler::_gs3

mutableprotected

GenSpec #2.

Definition at line 285 of file ToyMCSampler.h.

◆ _gs4

std::unique_ptr<RooAbsPdf::GenSpec> RooStats::ToyMCSampler::_gs4

mutableprotected

GenSpec #3.

Definition at line 286 of file ToyMCSampler.h.

◆ _gsList

std::vector<std::unique_ptr<RooAbsPdf::GenSpec> > RooStats::ToyMCSampler::_gsList

mutableprotected

Definition at line 282 of file ToyMCSampler.h.

◆ _obsList

std::vector<std::unique_ptr<RooArgSet> > RooStats::ToyMCSampler::_obsList

mutableprotected

We don't own those objects.

Definition at line 281 of file ToyMCSampler.h.

◆ _pdfList

std::vector<RooAbsPdf*> RooStats::ToyMCSampler::_pdfList

mutableprotected

Definition at line 280 of file ToyMCSampler.h.

◆ fAdaptiveHighLimit

Double_t RooStats::ToyMCSampler::fAdaptiveHighLimit

protected

Definition at line 270 of file ToyMCSampler.h.

◆ fAdaptiveLowLimit

Double_t RooStats::ToyMCSampler::fAdaptiveLowLimit

protected

Definition at line 269 of file ToyMCSampler.h.

◆ fExpectedNuisancePar

Bool_t RooStats::ToyMCSampler::fExpectedNuisancePar

protected

Definition at line 256 of file ToyMCSampler.h.

◆ fgAlwaysUseMultiGen

Bool_t RooStats::ToyMCSampler::fgAlwaysUseMultiGen = kFALSE

staticprotected

GenSpec #4.

Definition at line 288 of file ToyMCSampler.h.

◆ fGenerateAutoBinned

Bool_t RooStats::ToyMCSampler::fGenerateAutoBinned

protected

Definition at line 259 of file ToyMCSampler.h.

◆ fGenerateBinned

Bool_t RooStats::ToyMCSampler::fGenerateBinned

protected

Definition at line 257 of file ToyMCSampler.h.

◆ fGenerateBinnedTag

TString RooStats::ToyMCSampler::fGenerateBinnedTag

protected

Definition at line 258 of file ToyMCSampler.h.

◆ fGlobalObservables

const RooArgSet* RooStats::ToyMCSampler::fGlobalObservables

protected

Definition at line 252 of file ToyMCSampler.h.

◆ fMaxToys

Double_t RooStats::ToyMCSampler::fMaxToys

protected

Definition at line 267 of file ToyMCSampler.h.

◆ fNEvents

Int_t RooStats::ToyMCSampler::fNEvents

protected

Definition at line 254 of file ToyMCSampler.h.

◆ fNToys

Int_t RooStats::ToyMCSampler::fNToys

protected

Definition at line 253 of file ToyMCSampler.h.

◆ fNuisanceParametersSampler

NuisanceParametersSampler* RooStats::ToyMCSampler::fNuisanceParametersSampler

mutableprotected

Definition at line 276 of file ToyMCSampler.h.

◆ fNuisancePars

const RooArgSet* RooStats::ToyMCSampler::fNuisancePars

protected

Definition at line 250 of file ToyMCSampler.h.

◆ fObservables

const RooArgSet* RooStats::ToyMCSampler::fObservables

protected

Definition at line 251 of file ToyMCSampler.h.

◆ fParametersForTestStat

std::unique_ptr<const RooArgSet> RooStats::ToyMCSampler::fParametersForTestStat

protected

Definition at line 245 of file ToyMCSampler.h.

◆ fPdf

RooAbsPdf* RooStats::ToyMCSampler::fPdf

protected

Definition at line 244 of file ToyMCSampler.h.

◆ fPriorNuisance

RooAbsPdf* RooStats::ToyMCSampler::fPriorNuisance

protected

Definition at line 249 of file ToyMCSampler.h.

◆ fProofConfig

ProofConfig* RooStats::ToyMCSampler::fProofConfig

protected

Definition at line 274 of file ToyMCSampler.h.

◆ fProtoData

const RooDataSet* RooStats::ToyMCSampler::fProtoData

protected

Definition at line 272 of file ToyMCSampler.h.

◆ fSamplingDistName

std::string RooStats::ToyMCSampler::fSamplingDistName

protected

Definition at line 248 of file ToyMCSampler.h.

◆ fSize

Double_t RooStats::ToyMCSampler::fSize

protected

Definition at line 255 of file ToyMCSampler.h.

◆ fTestStatistics

std::vector<TestStatistic*> RooStats::ToyMCSampler::fTestStatistics

protected

Definition at line 246 of file ToyMCSampler.h.

◆ fToysInTails

Double_t RooStats::ToyMCSampler::fToysInTails

protected

Definition at line 264 of file ToyMCSampler.h.

◆ fUseMultiGen

Bool_t RooStats::ToyMCSampler::fUseMultiGen

protected

Definition at line 289 of file ToyMCSampler.h.

Libraries for RooStats::ToyMCSampler:

[legend]

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

roofit/roostats/inc/RooStats/ToyMCSampler.h
roofit/roostats/src/ToyMCSampler.cxx

Public Member Functions

Static Public Member Functions

Protected Member Functions

Protected Attributes

Static Protected Attributes

Constructor & Destructor Documentation

◆ ToyMCSampler() [1/2]

◆ ToyMCSampler() [2/2]

◆ ~ToyMCSampler()

Member Function Documentation

◆ AddTestStatistic()

◆ AppendSamplingDistribution()

◆ CheckConfig()

◆ ClearCache()

◆ ConfidenceLevel()

◆ EvaluateAllTestStatistics() [1/2]

◆ EvaluateAllTestStatistics() [2/2]

◆ EvaluateTestStatistic() [1/2]

◆ EvaluateTestStatistic() [2/2]

◆ Generate()

◆ GenerateGlobalObservables()

◆ GenerateToyData() [1/4]

◆ GenerateToyData() [2/4]

◆ GenerateToyData() [3/4]

◆ GenerateToyData() [4/4]

◆ GetNToys()

◆ GetSamplingDistName()

◆ GetSamplingDistribution()

◆ GetSamplingDistributions()

◆ GetSamplingDistributionsSingleWorker()

◆ GetTestStatistic() [1/2]

◆ GetTestStatistic() [2/2]

◆ Initialize()

◆ SetAlwaysUseMultiGen()

◆ SetAsimovNuisancePar()

◆ SetConfidenceLevel()

◆ SetExpectedNuisancePar()

◆ SetGenerateAutoBinned()

◆ SetGenerateBinned()

◆ SetGenerateBinnedTag()

◆ SetGlobalObservables()

◆ SetMaxToys()

◆ SetNEventsPerToy()

◆ SetNToys()

◆ SetNuisanceParameters()

◆ SetObservables()

◆ SetParametersForTestStat()

◆ SetPdf()

◆ SetPriorNuisance()

◆ SetProofConfig()

◆ SetProtoData()

◆ SetSamplingDistName()

◆ SetTestSize()

◆ SetTestStatistic() [1/2]

◆ SetTestStatistic() [2/2]

◆ SetToysBothTails()

◆ SetToysLeftTail()

◆ SetToysRightTail()

◆ SetUseMultiGen()

Member Data Documentation

◆ _allVars

◆ _gs1

◆ _gs2

◆ _gs3

◆ _gs4

◆ _gsList

◆ _obsList

◆ _pdfList

◆ fAdaptiveHighLimit

◆ fAdaptiveLowLimit

◆ fExpectedNuisancePar

◆ fgAlwaysUseMultiGen

◆ fGenerateAutoBinned

◆ fGenerateBinned

◆ fGenerateBinnedTag

◆ fGlobalObservables

◆ fMaxToys

◆ fNEvents

◆ fNToys

◆ fNuisanceParametersSampler