AppendSamplingDistribution(RooArgSet &allParameters, SamplingDistribution *last, Int_t additionalMC) | RooStats::ToyMCSampler | [inline, virtual] |
AppendSamplingDistribution(RooArgSet &allParameters, SamplingDistribution *last, Int_t additionalMC) | RooStats::ToyMCSampler | [inline, virtual] |
CheckConfig(void) | RooStats::ToyMCSampler | |
CheckConfig(void) | RooStats::ToyMCSampler | |
ConfidenceLevel() const | RooStats::ToyMCSampler | [inline, virtual] |
ConfidenceLevel() const | RooStats::ToyMCSampler | [inline, virtual] |
EvaluateTestStatistic(RooAbsData &data, RooArgSet &nullPOI) | RooStats::ToyMCSampler | [inline, virtual] |
EvaluateTestStatistic(RooAbsData &data, RooArgSet &nullPOI) | RooStats::ToyMCSampler | [inline, virtual] |
fAdaptiveHighLimit | RooStats::ToyMCSampler | [protected] |
fAdaptiveLowLimit | RooStats::ToyMCSampler | [protected] |
fExpectedNuisancePar | RooStats::ToyMCSampler | [protected] |
fGenerateBinned | RooStats::ToyMCSampler | [protected] |
fGlobalObservables | RooStats::ToyMCSampler | [protected] |
fGlobalObservables | RooStats::ToyMCSampler | [protected] |
fImportanceDensity | RooStats::ToyMCSampler | [protected] |
fImportanceDensity | RooStats::ToyMCSampler | [protected] |
fImportanceSnapshot | RooStats::ToyMCSampler | [protected] |
fImportanceSnapshot | RooStats::ToyMCSampler | [protected] |
fMaxToys | RooStats::ToyMCSampler | [protected] |
fNEvents | RooStats::ToyMCSampler | [protected] |
fNToys | RooStats::ToyMCSampler | [protected] |
fNuisancePars | RooStats::ToyMCSampler | [protected] |
fNuisancePars | RooStats::ToyMCSampler | [protected] |
fNullPOI | RooStats::ToyMCSampler | [protected] |
fNullPOI | RooStats::ToyMCSampler | [protected] |
fObservables | RooStats::ToyMCSampler | [protected] |
fObservables | RooStats::ToyMCSampler | [protected] |
fPdf | RooStats::ToyMCSampler | [protected] |
fPdf | RooStats::ToyMCSampler | [protected] |
fPriorNuisance | RooStats::ToyMCSampler | [protected] |
fPriorNuisance | RooStats::ToyMCSampler | [protected] |
fProofConfig | RooStats::ToyMCSampler | [protected] |
fProofConfig | RooStats::ToyMCSampler | [protected] |
fProtoData | RooStats::ToyMCSampler | [protected] |
fProtoData | RooStats::ToyMCSampler | [protected] |
fSamplingDistName | RooStats::ToyMCSampler | [protected] |
fSize | RooStats::ToyMCSampler | [protected] |
fTestStat | RooStats::ToyMCSampler | [protected] |
fTestStat | RooStats::ToyMCSampler | [protected] |
fToysInTails | RooStats::ToyMCSampler | [protected] |
Generate(RooAbsPdf &pdf, RooArgSet &observables, const RooDataSet *protoData=NULL, int forceEvents=0) const | RooStats::ToyMCSampler | [protected] |
Generate(RooAbsPdf &pdf, RooArgSet &observables, const RooDataSet *protoData=NULL, int forceEvents=0) const | RooStats::ToyMCSampler | [protected] |
GenerateToyData(RooArgSet &) const | RooStats::ToyMCSampler | [virtual] |
GenerateToyData(RooArgSet &) const | RooStats::ToyMCSampler | [virtual] |
GetNToys(void) | RooStats::ToyMCSampler | [inline, virtual] |
GetNToys(void) | RooStats::ToyMCSampler | [inline, virtual] |
GetSamplingDistName(void) | RooStats::ToyMCSampler | [inline] |
GetSamplingDistName(void) | RooStats::ToyMCSampler | [inline] |
GetSamplingDistribution(RooArgSet ¶mPoint) | RooStats::ToyMCSampler | [virtual] |
GetSamplingDistribution(RooArgSet ¶mPoint) | RooStats::ToyMCSampler | [virtual] |
GetSamplingDistributionSingleWorker(RooArgSet ¶mPoint) | RooStats::ToyMCSampler | [virtual] |
GetSamplingDistributionSingleWorker(RooArgSet ¶mPoint) | RooStats::ToyMCSampler | [virtual] |
GetTestStatistic() const | RooStats::ToyMCSampler | [inline, virtual] |
GetTestStatistic() const | RooStats::ToyMCSampler | [inline, virtual] |
Initialize(RooAbsArg &, RooArgSet &, RooArgSet &) | RooStats::ToyMCSampler | [inline, virtual] |
Initialize(RooAbsArg &, RooArgSet &, RooArgSet &) | RooStats::ToyMCSampler | [inline, virtual] |
SetAsimovNuisancePar(Bool_t i=kTRUE) | RooStats::ToyMCSampler | [inline, virtual] |
SetAsimovNuisancePar(Bool_t i=kTRUE) | RooStats::ToyMCSampler | [inline, virtual] |
SetConfidenceLevel(Double_t cl) | RooStats::ToyMCSampler | [inline, virtual] |
SetConfidenceLevel(Double_t cl) | RooStats::ToyMCSampler | [inline, virtual] |
SetExpectedNuisancePar(Bool_t i=kTRUE) | RooStats::ToyMCSampler | [inline, virtual] |
SetExpectedNuisancePar(Bool_t i=kTRUE) | RooStats::ToyMCSampler | [inline, virtual] |
SetGenerateBinned(bool binned=true) | RooStats::ToyMCSampler | [inline] |
SetGenerateBinned(bool binned=true) | RooStats::ToyMCSampler | [inline] |
SetGlobalObservables(const RooArgSet &o) | RooStats::ToyMCSampler | [inline, virtual] |
SetGlobalObservables(const RooArgSet &o) | RooStats::ToyMCSampler | [inline, virtual] |
SetImportanceDensity(RooAbsPdf *p) | RooStats::ToyMCSampler | [inline] |
SetImportanceDensity(RooAbsPdf *p) | RooStats::ToyMCSampler | [inline] |
SetImportanceSnapshot(const RooArgSet &s) | RooStats::ToyMCSampler | [inline] |
SetImportanceSnapshot(const RooArgSet &s) | RooStats::ToyMCSampler | [inline] |
SetMaxToys(Double_t t) | RooStats::ToyMCSampler | [inline] |
SetMaxToys(Double_t t) | RooStats::ToyMCSampler | [inline] |
SetNEventsPerToy(const Int_t nevents) | RooStats::ToyMCSampler | [inline, virtual] |
SetNEventsPerToy(const Int_t nevents) | RooStats::ToyMCSampler | [inline, virtual] |
SetNToys(const Int_t ntoy) | RooStats::ToyMCSampler | [inline, virtual] |
SetNToys(const Int_t ntoy) | RooStats::ToyMCSampler | [inline, virtual] |
SetNuisanceParameters(const RooArgSet &np) | RooStats::ToyMCSampler | [inline, virtual] |
SetNuisanceParameters(const RooArgSet &np) | RooStats::ToyMCSampler | [inline, virtual] |
SetObservables(const RooArgSet &o) | RooStats::ToyMCSampler | [inline, virtual] |
SetObservables(const RooArgSet &o) | RooStats::ToyMCSampler | [inline, virtual] |
SetParametersForTestStat(const RooArgSet &nullpoi) | RooStats::ToyMCSampler | [inline, virtual] |
SetParametersForTestStat(const RooArgSet &nullpoi) | RooStats::ToyMCSampler | [inline, virtual] |
SetPdf(RooAbsPdf &pdf) | RooStats::ToyMCSampler | [inline, virtual] |
SetPdf(RooAbsPdf &pdf) | RooStats::ToyMCSampler | [inline, virtual] |
SetPriorNuisance(RooAbsPdf *pdf) | RooStats::ToyMCSampler | [inline, virtual] |
SetPriorNuisance(RooAbsPdf *pdf) | RooStats::ToyMCSampler | [inline, virtual] |
SetProofConfig(ProofConfig *pc=NULL) | RooStats::ToyMCSampler | [inline] |
SetProofConfig(ProofConfig *pc=NULL) | RooStats::ToyMCSampler | [inline] |
SetProtoData(const RooDataSet *d) | RooStats::ToyMCSampler | [inline] |
SetProtoData(const RooDataSet *d) | RooStats::ToyMCSampler | [inline] |
SetSamplingDistName(const char *name) | RooStats::ToyMCSampler | [inline, virtual] |
SetSamplingDistName(const char *name) | RooStats::ToyMCSampler | [inline, virtual] |
SetTestSize(Double_t size) | RooStats::ToyMCSampler | [inline, virtual] |
SetTestSize(Double_t size) | RooStats::ToyMCSampler | [inline, virtual] |
SetTestStatistic(TestStatistic *testStatistic) | RooStats::ToyMCSampler | [inline, virtual] |
SetTestStatistic(TestStatistic *testStatistic) | RooStats::ToyMCSampler | [inline, virtual] |
SetToysBothTails(Double_t toys, Double_t low_threshold, Double_t high_threshold) | RooStats::ToyMCSampler | [inline] |
SetToysBothTails(Double_t toys, Double_t low_threshold, Double_t high_threshold) | RooStats::ToyMCSampler | [inline] |
SetToysLeftTail(Double_t toys, Double_t threshold) | RooStats::ToyMCSampler | [inline] |
SetToysLeftTail(Double_t toys, Double_t threshold) | RooStats::ToyMCSampler | [inline] |
SetToysRightTail(Double_t toys, Double_t threshold) | RooStats::ToyMCSampler | [inline] |
SetToysRightTail(Double_t toys, Double_t threshold) | RooStats::ToyMCSampler | [inline] |
ToyMCSampler() | RooStats::ToyMCSampler | [inline] |
ToyMCSampler(TestStatistic &ts, Int_t ntoys) | RooStats::ToyMCSampler | [inline] |
ToyMCSampler() | RooStats::ToyMCSampler | [inline] |
ToyMCSampler(TestStatistic &ts, Int_t ntoys) | RooStats::ToyMCSampler | [inline] |
~TestStatSampler() | RooStats::TestStatSampler | [inline, virtual] |
~TestStatSampler() | RooStats::TestStatSampler | [inline, virtual] |
~ToyMCSampler() | RooStats::ToyMCSampler | [inline, virtual] |
~ToyMCSampler() | RooStats::ToyMCSampler | [inline, virtual] |