TestStatistic class that returns -log(L[null] / L[alt]) where L is the likelihood.

It is often called as the LEP Test statistic.

Definition at line 23 of file SimpleLikelihoodRatioTestStat.h.

Public Member Functions
	SimpleLikelihoodRatioTestStat ()
	Constructor for proof. Do not use.

	SimpleLikelihoodRatioTestStat (RooAbsPdf &nullPdf, RooAbsPdf &altPdf)
	Takes null and alternate parameters from PDF. Can be overridden.

	SimpleLikelihoodRatioTestStat (RooAbsPdf &nullPdf, RooAbsPdf &altPdf, const RooArgSet &nullParameters, const RooArgSet &altParameters)
	Takes null and alternate parameters from values in nullParameters and altParameters.

	~SimpleLikelihoodRatioTestStat () override

virtual void	EnableDetailedOutput (bool e=true)

double	Evaluate (RooAbsData &data, RooArgSet &nullPOI) override
	Main interface to evaluate the test statistic on a dataset given the values for the Null Parameters Of Interest.

const RooArgSet *	GetDetailedOutput (void) const override
	return detailed output: for fits this can be pulls, processing time, ... The returned pointer will not loose validity until another call to Evaluate.

const TString	GetVarName () const override

TClass *	IsA () const override

bool	ParamsAreEqual ()
	this should be possible with RooAbsCollection

void	SetAltParameters (const RooArgSet &altParameters)

void	SetConditionalObservables (const RooArgSet &set) override
	set the conditional observables which will be used when creating the NLL so the pdf's will not be normalized on the conditional observables when computing the NLL

void	SetGlobalObservables (const RooArgSet &set) override
	set the global observables which will be used when creating the NLL so the constraint pdf's will be normalized correctly on the global observables when computing the NLL

void	SetNullParameters (const RooArgSet &nullParameters)

void	SetReuseNLL (bool flag)

void	Streamer (TBuffer &) override

void	StreamerNVirtual (TBuffer &ClassDef_StreamerNVirtual_b)

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

virtual double	Evaluate (RooAbsData &data, RooArgSet &nullPOI)=0
	Main interface to evaluate the test statistic on a dataset given the values for the Null Parameters Of Interest.

virtual const RooArgSet *	GetDetailedOutput () const
	return detailed output: for fits this can be pulls, processing time, ... The returned pointer will not loose validity until another call to Evaluate.

virtual const TString	GetVarName () const =0

virtual TClass *	IsA () const

virtual bool	PValueIsRightTail (void) const
	Defines the sign convention of the test statistic. Overwrite function if necessary.

virtual void	SetConditionalObservables (const RooArgSet &)
	interface to set conditional observables. If a test statistics needs them it will re-implement this function

virtual void	SetGlobalObservables (const RooArgSet &)
	interface to set global observables. If a test statistics needs them it will re-implement this function

virtual void	Streamer (TBuffer &)

void	StreamerNVirtual (TBuffer &ClassDef_StreamerNVirtual_b)

Static Public Member Functions
static TClass *	Class ()

static const char *	Class_Name ()

static constexpr Version_t	Class_Version ()

static const char *	DeclFileName ()

static void	SetAlwaysReuseNLL (bool flag)

Static Public Member Functions inherited from RooStats::TestStatistic
static TClass *	Class ()

static const char *	Class_Name ()

static constexpr Version_t	Class_Version ()

static const char *	DeclFileName ()

Private Attributes
RooArgSet *	fAltParameters

RooAbsPdf *	fAltPdf

RooArgSet	fConditionalObs

RooArgSet *	fDetailedOutput
	!

bool	fDetailedOutputEnabled

bool	fFirstEval

RooArgSet	fGlobalObs

std::unique_ptr< RooAbsReal >	fNllAlt
	! transient copy of the alt NLL

std::unique_ptr< RooAbsReal >	fNllNull
	! transient copy of the null NLL

RooArgSet *	fNullParameters

RooAbsPdf *	fNullPdf

bool	fReuseNll

Static Private Attributes
static bool	fgAlwaysReuseNll = true

#include <RooStats/SimpleLikelihoodRatioTestStat.h>

Inheritance diagram for RooStats::SimpleLikelihoodRatioTestStat:

[legend]

Constructor & Destructor Documentation

◆ SimpleLikelihoodRatioTestStat() [1/3]

RooStats::SimpleLikelihoodRatioTestStat::SimpleLikelihoodRatioTestStat ( )

inline

Constructor for proof. Do not use.

Definition at line 28 of file SimpleLikelihoodRatioTestStat.h.

◆ SimpleLikelihoodRatioTestStat() [2/3]

RooStats::SimpleLikelihoodRatioTestStat::SimpleLikelihoodRatioTestStat	(	RooAbsPdf &	nullPdf,
		RooAbsPdf &	altPdf
	)

inline

Takes null and alternate parameters from PDF. Can be overridden.

Definition at line 40 of file SimpleLikelihoodRatioTestStat.h.

◆ SimpleLikelihoodRatioTestStat() [3/3]

RooStats::SimpleLikelihoodRatioTestStat::SimpleLikelihoodRatioTestStat	(	RooAbsPdf &	nullPdf,
		RooAbsPdf &	altPdf,
		const RooArgSet &	nullParameters,
		const RooArgSet &	altParameters
	)

inline

Takes null and alternate parameters from values in nullParameters and altParameters.

Can be overridden.

Definition at line 63 of file SimpleLikelihoodRatioTestStat.h.

◆ ~SimpleLikelihoodRatioTestStat()

RooStats::SimpleLikelihoodRatioTestStat::~SimpleLikelihoodRatioTestStat ( )

inlineoverride

Definition at line 83 of file SimpleLikelihoodRatioTestStat.h.

Member Function Documentation

◆ Class()

static TClass * RooStats::SimpleLikelihoodRatioTestStat::Class ( )

static

Returns: TClass describing this class

◆ Class_Name()

static const char * RooStats::SimpleLikelihoodRatioTestStat::Class_Name ( )

static

Returns: Name of this class

◆ Class_Version()

static constexpr Version_t RooStats::SimpleLikelihoodRatioTestStat::Class_Version ( )

inlinestaticconstexpr

Returns: Version of this class

Definition at line 160 of file SimpleLikelihoodRatioTestStat.h.

◆ DeclFileName()

static const char * RooStats::SimpleLikelihoodRatioTestStat::DeclFileName ( )

inlinestatic

Returns: Name of the file containing the class declaration

Definition at line 160 of file SimpleLikelihoodRatioTestStat.h.

◆ EnableDetailedOutput()

virtual void RooStats::SimpleLikelihoodRatioTestStat::EnableDetailedOutput ( bool e = true )

inlinevirtual

Definition at line 133 of file SimpleLikelihoodRatioTestStat.h.

◆ Evaluate()

double RooStats::SimpleLikelihoodRatioTestStat::Evaluate	(	RooAbsData &	data,
		RooArgSet &	nullPOI
	)

overridevirtual

Main interface to evaluate the test statistic on a dataset given the values for the Null Parameters Of Interest.

Implements RooStats::TestStatistic.

Definition at line 30 of file SimpleLikelihoodRatioTestStat.cxx.

◆ GetDetailedOutput()

const RooArgSet * RooStats::SimpleLikelihoodRatioTestStat::GetDetailedOutput ( void ) const

inlineoverridevirtual

return detailed output: for fits this can be pulls, processing time, ... The returned pointer will not loose validity until another call to Evaluate.

Reimplemented from RooStats::TestStatistic.

Definition at line 134 of file SimpleLikelihoodRatioTestStat.h.

◆ GetVarName()

const TString RooStats::SimpleLikelihoodRatioTestStat::GetVarName ( ) const

inlineoverridevirtual

Implements RooStats::TestStatistic.

Definition at line 136 of file SimpleLikelihoodRatioTestStat.h.

◆ IsA()

TClass * RooStats::SimpleLikelihoodRatioTestStat::IsA ( ) const

inlineoverridevirtual

Returns: TClass describing current object

Reimplemented from RooStats::TestStatistic.

Definition at line 160 of file SimpleLikelihoodRatioTestStat.h.

◆ ParamsAreEqual()

bool RooStats::SimpleLikelihoodRatioTestStat::ParamsAreEqual ( )

inline

this should be possible with RooAbsCollection

Definition at line 106 of file SimpleLikelihoodRatioTestStat.h.

◆ SetAltParameters()

void RooStats::SimpleLikelihoodRatioTestStat::SetAltParameters ( const RooArgSet & altParameters )

inline

Definition at line 99 of file SimpleLikelihoodRatioTestStat.h.

◆ SetAlwaysReuseNLL()

void RooStats::SimpleLikelihoodRatioTestStat::SetAlwaysReuseNLL ( bool flag )

static

Definition at line 28 of file SimpleLikelihoodRatioTestStat.cxx.

◆ SetConditionalObservables()

void RooStats::SimpleLikelihoodRatioTestStat::SetConditionalObservables ( const RooArgSet & set )

inlineoverridevirtual

set the conditional observables which will be used when creating the NLL so the pdf's will not be normalized on the conditional observables when computing the NLL

Reimplemented from RooStats::TestStatistic.

Definition at line 125 of file SimpleLikelihoodRatioTestStat.h.

◆ SetGlobalObservables()

void RooStats::SimpleLikelihoodRatioTestStat::SetGlobalObservables ( const RooArgSet & set )

inlineoverridevirtual

set the global observables which will be used when creating the NLL so the constraint pdf's will be normalized correctly on the global observables when computing the NLL

Reimplemented from RooStats::TestStatistic.

Definition at line 129 of file SimpleLikelihoodRatioTestStat.h.