RooStats::ToyMCSampler Class Reference

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 72 of file ToyMCSampler.h.

Public Member Functions
	ToyMCSampler ()
	Proof constructor. Do not use. More...
	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. More...
Bool_t	CheckConfig (void)
	only checks, no guessing/determination (do this in calculators, e.g. More...
virtual Double_t	ConfidenceLevel () const
virtual RooArgList *	EvaluateAllTestStatistics (RooAbsData &data, const RooArgSet &poi)
	Evaluate all test statistics, returning result and any detailed output. More...
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. More...
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. More...
virtual RooDataSet *	GetSamplingDistributionsSingleWorker (RooArgSet &paramPoint)
	This is the main function for serial runs. More...
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)
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 ()
virtual Double_t	ConfidenceLevel () const =0
virtual Double_t	EvaluateTestStatistic (RooAbsData &data, RooArgSet &paramsOfInterest)=0
virtual SamplingDistribution *	GetSamplingDistribution (RooArgSet &paramsOfInterest)=0
virtual TestStatistic *	GetTestStatistic () const =0
virtual void	Initialize (RooAbsArg &testStatistic, RooArgSet &paramsOfInterest, RooArgSet &nuisanceParameters)=0
virtual void	SetConfidenceLevel (Double_t cl)=0
virtual void	SetGlobalObservables (const RooArgSet &)=0
virtual void	SetNuisanceParameters (const RooArgSet &)=0
virtual void	SetObservables (const RooArgSet &)=0
virtual void	SetParametersForTestStat (const RooArgSet &)=0
virtual void	SetPdf (RooAbsPdf &)=0
virtual void	SetPriorNuisance (RooAbsPdf *)=0
virtual void	SetSamplingDistName (const char *name)=0
virtual void	SetTestSize (Double_t size)=0
virtual void	SetTestStatistic (TestStatistic *testStatistic)=0

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 More...
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(...). More...

Protected Attributes
RooArgSet *	_allVars
RooAbsPdf::GenSpec *	_gs1
RooAbsPdf::GenSpec *	_gs2
	GenSpec #1. More...
RooAbsPdf::GenSpec *	_gs3
	GenSpec #2. More...
RooAbsPdf::GenSpec *	_gs4
	GenSpec #3. More...
std::list< RooAbsPdf::GenSpec * >	_gsList
std::list< RooArgSet * >	_obsList
std::list< 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. More...

#include <RooStats/ToyMCSampler.h>

Inheritance diagram for RooStats::ToyMCSampler:

Constructor & Destructor Documentation

ToyMCSampler() [1/2]

RooStats::ToyMCSampler::ToyMCSampler

(

)

Proof constructor. Do not use.

Definition at line 154 of file ToyMCSampler.cxx.

ToyMCSampler() [2/2]

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

Definition at line 194 of file ToyMCSampler.cxx.

~ToyMCSampler()

RooStats::ToyMCSampler::~ToyMCSampler ( )

virtual

Definition at line 235 of file ToyMCSampler.cxx.

Member Function Documentation

AddTestStatistic()

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

inlinevirtual

Definition at line 98 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 683 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 245 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 706 of file ToyMCSampler.cxx.

ConfidenceLevel()

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

inlinevirtual

Implements RooStats::TestStatSampler.

Definition at line 139 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 269 of file ToyMCSampler.cxx.

EvaluateAllTestStatistics() [2/2]

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

protected

Definition at line 279 of file ToyMCSampler.cxx.

EvaluateTestStatistic() [1/2]

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

inlinevirtual

Implements RooStats::TestStatSampler.

Definition at line 129 of file ToyMCSampler.h.

EvaluateTestStatistic() [2/2]

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

inlinevirtual

Definition at line 126 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 (ie RooDataHist).

Definition at line 605 of file ToyMCSampler.cxx.

GenerateGlobalObservables()

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

virtual

Definition at line 465 of file ToyMCSampler.cxx.

GenerateToyData() [1/4]

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

inlinevirtual

Reimplemented in RooStats::ToyMCImportanceSampler.

Definition at line 116 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 119 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 537 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 111 of file ToyMCSampler.h.

GetNToys()

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

inlinevirtual

Definition at line 146 of file ToyMCSampler.h.

GetSamplingDistName()

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

inline

Definition at line 211 of file ToyMCSampler.h.

GetSamplingDistribution()

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

virtual

Implements RooStats::TestStatSampler.

Definition at line 303 of file ToyMCSampler.cxx.

GetSamplingDistributions()

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

virtual

Use for serial and parallel runs.

Definition at line 325 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).

Make sure the cache is clear. It is important to clear it hear, because the cache might be invalid even when just the firstPOI was changed, for which no accessor has to be called. (Fixes a bug when ToyMCSampler is used with the Neyman Construction)

Reimplemented in RooStats::ToyMCImportanceSampler.

Definition at line 384 of file ToyMCSampler.cxx.

GetTestStatistic() [1/2]

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

inlinevirtual

Definition at line 133 of file ToyMCSampler.h.

GetTestStatistic() [2/2]

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

inlinevirtual

Implements RooStats::TestStatSampler.

Definition at line 137 of file ToyMCSampler.h.

Initialize()

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

inlinevirtual

Implements RooStats::TestStatSampler.

Definition at line 140 of file ToyMCSampler.h.

SetAlwaysUseMultiGen()

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

static

Definition at line 149 of file ToyMCSampler.cxx.

SetAsimovNuisancePar()

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

inlinevirtual

Definition at line 197 of file ToyMCSampler.h.

SetConfidenceLevel()

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

inlinevirtual

Implements RooStats::TestStatSampler.

Definition at line 181 of file ToyMCSampler.h.

SetExpectedNuisancePar()

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

inlinevirtual

Definition at line 196 of file ToyMCSampler.h.

SetGenerateAutoBinned()

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

inline

Definition at line 207 of file ToyMCSampler.h.

SetGenerateBinned()

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

inline

Definition at line 203 of file ToyMCSampler.h.

SetGenerateBinnedTag()

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

inline

Definition at line 205 of file ToyMCSampler.h.

SetGlobalObservables()

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

inlinevirtual

Implements RooStats::TestStatSampler.

Definition at line 175 of file ToyMCSampler.h.

SetMaxToys()

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

inline

Definition at line 214 of file ToyMCSampler.h.

SetNEventsPerToy()

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

inlinevirtual

Definition at line 148 of file ToyMCSampler.h.

SetNToys()

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

inlinevirtual

Definition at line 147 of file ToyMCSampler.h.

SetNuisanceParameters()

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

inlinevirtual

Implements RooStats::TestStatSampler.

Definition at line 171 of file ToyMCSampler.h.

SetObservables()

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

inlinevirtual

Implements RooStats::TestStatSampler.

Definition at line 173 of file ToyMCSampler.h.

SetParametersForTestStat()

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

inlinevirtual

Implements RooStats::TestStatSampler.

Reimplemented in RooStats::ToyMCImportanceSampler.

Definition at line 156 of file ToyMCSampler.h.

SetPdf()

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

inlinevirtual

Implements RooStats::TestStatSampler.

Reimplemented in RooStats::ToyMCImportanceSampler.

Definition at line 160 of file ToyMCSampler.h.

SetPriorNuisance()

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

inlinevirtual

Implements RooStats::TestStatSampler.

Definition at line 163 of file ToyMCSampler.h.

SetProofConfig()

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

inline

Definition at line 233 of file ToyMCSampler.h.

SetProtoData()

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

inline

Definition at line 235 of file ToyMCSampler.h.

SetSamplingDistName()

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

inlinevirtual

Implements RooStats::TestStatSampler.

Definition at line 210 of file ToyMCSampler.h.

SetTestSize()

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

inlinevirtual

Implements RooStats::TestStatSampler.

Definition at line 179 of file ToyMCSampler.h.

SetTestStatistic() [1/2]

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

inlinevirtual

Implements RooStats::TestStatSampler.

Definition at line 194 of file ToyMCSampler.h.

SetTestStatistic() [2/2]

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

inlinevirtual

Definition at line 184 of file ToyMCSampler.h.

SetToysBothTails()

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

inline

Definition at line 226 of file ToyMCSampler.h.

SetToysLeftTail()

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

inline

Definition at line 216 of file ToyMCSampler.h.

SetToysRightTail()

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

inline

Definition at line 221 of file ToyMCSampler.h.

SetUseMultiGen()

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

inline

Definition at line 82 of file ToyMCSampler.h.

Member Data Documentation

_allVars

RooArgSet* RooStats::ToyMCSampler::_allVars

mutableprotected

Definition at line 284 of file ToyMCSampler.h.

_gs1

RooAbsPdf::GenSpec* RooStats::ToyMCSampler::_gs1

mutableprotected

Definition at line 288 of file ToyMCSampler.h.

_gs2

RooAbsPdf::GenSpec* RooStats::ToyMCSampler::_gs2

mutableprotected

GenSpec #1.

Definition at line 289 of file ToyMCSampler.h.

_gs3

RooAbsPdf::GenSpec* RooStats::ToyMCSampler::_gs3

mutableprotected

GenSpec #2.

Definition at line 290 of file ToyMCSampler.h.

_gs4

RooAbsPdf::GenSpec* RooStats::ToyMCSampler::_gs4

mutableprotected

GenSpec #3.

Definition at line 291 of file ToyMCSampler.h.

_gsList

std::list<RooAbsPdf::GenSpec*> RooStats::ToyMCSampler::_gsList

mutableprotected

Definition at line 287 of file ToyMCSampler.h.

_obsList

std::list<RooArgSet*> RooStats::ToyMCSampler::_obsList

mutableprotected

Definition at line 286 of file ToyMCSampler.h.

_pdfList

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

mutableprotected

Definition at line 285 of file ToyMCSampler.h.

fAdaptiveHighLimit

Double_t RooStats::ToyMCSampler::fAdaptiveHighLimit

protected

Definition at line 275 of file ToyMCSampler.h.

fAdaptiveLowLimit

Double_t RooStats::ToyMCSampler::fAdaptiveLowLimit

protected

Definition at line 274 of file ToyMCSampler.h.

fExpectedNuisancePar

Bool_t RooStats::ToyMCSampler::fExpectedNuisancePar

protected

Definition at line 261 of file ToyMCSampler.h.

fgAlwaysUseMultiGen

Bool_t RooStats::ToyMCSampler::fgAlwaysUseMultiGen = kFALSE

staticprotected

GenSpec #4.

Definition at line 293 of file ToyMCSampler.h.

fGenerateAutoBinned

Bool_t RooStats::ToyMCSampler::fGenerateAutoBinned

protected

Definition at line 264 of file ToyMCSampler.h.

fGenerateBinned

Bool_t RooStats::ToyMCSampler::fGenerateBinned

protected

Definition at line 262 of file ToyMCSampler.h.

fGenerateBinnedTag

TString RooStats::ToyMCSampler::fGenerateBinnedTag

protected

Definition at line 263 of file ToyMCSampler.h.

fGlobalObservables

const RooArgSet* RooStats::ToyMCSampler::fGlobalObservables

protected

Definition at line 257 of file ToyMCSampler.h.

fMaxToys

Double_t RooStats::ToyMCSampler::fMaxToys

protected

Definition at line 272 of file ToyMCSampler.h.

fNEvents

Int_t RooStats::ToyMCSampler::fNEvents

protected

Definition at line 259 of file ToyMCSampler.h.

fNToys

Int_t RooStats::ToyMCSampler::fNToys

protected

Definition at line 258 of file ToyMCSampler.h.

fNuisanceParametersSampler

NuisanceParametersSampler* RooStats::ToyMCSampler::fNuisanceParametersSampler

mutableprotected

Definition at line 281 of file ToyMCSampler.h.

fNuisancePars

const RooArgSet* RooStats::ToyMCSampler::fNuisancePars

protected

Definition at line 255 of file ToyMCSampler.h.

fObservables

const RooArgSet* RooStats::ToyMCSampler::fObservables

protected

Definition at line 256 of file ToyMCSampler.h.

fParametersForTestStat

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

protected

Definition at line 250 of file ToyMCSampler.h.

fPdf

RooAbsPdf* RooStats::ToyMCSampler::fPdf

protected

Definition at line 249 of file ToyMCSampler.h.

fPriorNuisance

RooAbsPdf* RooStats::ToyMCSampler::fPriorNuisance

protected

Definition at line 254 of file ToyMCSampler.h.

fProofConfig

ProofConfig* RooStats::ToyMCSampler::fProofConfig

protected

Definition at line 279 of file ToyMCSampler.h.

fProtoData

const RooDataSet* RooStats::ToyMCSampler::fProtoData

protected

Definition at line 277 of file ToyMCSampler.h.

fSamplingDistName

std::string RooStats::ToyMCSampler::fSamplingDistName

protected

Definition at line 253 of file ToyMCSampler.h.

fSize

Double_t RooStats::ToyMCSampler::fSize

protected

Definition at line 260 of file ToyMCSampler.h.

fTestStatistics

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

protected

Definition at line 251 of file ToyMCSampler.h.

fToysInTails

Double_t RooStats::ToyMCSampler::fToysInTails

protected

Definition at line 269 of file ToyMCSampler.h.

fUseMultiGen

Bool_t RooStats::ToyMCSampler::fUseMultiGen

protected

Definition at line 294 of file ToyMCSampler.h.

Libraries for RooStats::ToyMCSampler:

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