ProfileLikelihoodTestStat is an implementation of the TestStatistic interface that calculates the profile likelihood ratio at a particular parameter point given a dataset.

It does not constitute a statistical test, for that one may either use:

the ProfileLikelihoodCalculator that relies on asymptotic properties of the Profile Likelihood Ratio
the NeymanConstruction class with this class as a test statistic
the HybridCalculator class with this class as a test statistic

Definition at line 30 of file ProfileLikelihoodTestStat.h.

Public Member Functions
	ProfileLikelihoodTestStat (RooAbsPdf &pdf)

	~ProfileLikelihoodTestStat () override

virtual void	EnableDetailedOutput (bool e=true, bool withErrorsAndPulls=false)

double	Evaluate (RooAbsData &data, RooArgSet &paramsOfInterest) override
	Main interface to evaluate the test statistic on a dataset.

virtual double	EvaluateProfileLikelihood (int type, RooAbsData &data, RooArgSet &paramsOfInterest)
	evaluate the profile likelihood ratio (type = 0) or the minimum of likelihood (type=1) or the conditional LL (type = 2)

const RooArgSet *	GetDetailedOutput (void) const override
	Returns detailed output.

virtual RooAbsPdf *	GetPdf () const

const TString	GetVarName () const override

TClass *	IsA () const override

bool	IsOneSidedDiscovery () const

bool	IsTwoSided () const

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	SetLOffset (bool flag=true)

void	SetLOffset (std::string const &mode)

void	SetMinimizer (const char *minimizer)

void	SetOneSided (bool flag=true)

void	SetOneSidedDiscovery (bool flag=true)

void	SetPrintLevel (Int_t printlevel)

void	SetReuseNLL (bool flag)

void	SetSigned (bool flag=true)

void	SetStrategy (Int_t strategy)

void	SetTolerance (double tol)

virtual void	SetVarName (const char *name)

void	Streamer (TBuffer &) override

void	StreamerNVirtual (TBuffer &ClassDef_StreamerNVirtual_b)

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

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

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 Types
enum	LimitType { twoSided , oneSided , oneSidedDiscovery }

Private Member Functions
std::unique_ptr< RooFitResult >	GetMinNLL ()
	find minimum of NLL using RooMinimizer

Private Attributes
const RooArgSet *	fCachedBestFitParams = nullptr

RooArgSet	fConditionalObs
	conditional observables

std::unique_ptr< RooArgSet >	fDetailedOutput
	!

bool	fDetailedOutputEnabled = false
	this will store a snapshot of the unconditional nuisance parameter fit.

bool	fDetailedOutputWithErrorsAndPulls = false

RooArgSet	fGlobalObs
	global observables

RooAbsData *	fLastData = nullptr

LimitType	fLimitType = twoSided

std::string	fLOffset

TString	fMinimizer

std::unique_ptr< RooAbsReal >	fNll

RooAbsPdf *	fPdf = nullptr

Int_t	fPrintLevel

bool	fReuseNll = false

bool	fSigned = false

Int_t	fStrategy

double	fTolerance

TString	fVarName = "Profile Likelihood Ratio"

Static Private Attributes
static bool	fgAlwaysReuseNll = true

#include <RooStats/ProfileLikelihoodTestStat.h>

Inheritance diagram for RooStats::ProfileLikelihoodTestStat:

[legend]

Member Enumeration Documentation

◆ LimitType

enum RooStats::ProfileLikelihoodTestStat::LimitType

private

Enumerator
twoSided
oneSided
oneSidedDiscovery

Definition at line 32 of file ProfileLikelihoodTestStat.h.

Constructor & Destructor Documentation

◆ ProfileLikelihoodTestStat()

RooStats::ProfileLikelihoodTestStat::ProfileLikelihoodTestStat ( RooAbsPdf & pdf )

inline

Definition at line 35 of file ProfileLikelihoodTestStat.h.

◆ ~ProfileLikelihoodTestStat()

RooStats::ProfileLikelihoodTestStat::~ProfileLikelihoodTestStat ( )

inlineoverride

Definition at line 45 of file ProfileLikelihoodTestStat.h.

Member Function Documentation

◆ Class()

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

static

Returns: TClass describing this class

◆ Class_Name()

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

static

Returns: Name of this class

◆ Class_Version()

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

inlinestaticconstexpr

Returns: Version of this class

Definition at line 132 of file ProfileLikelihoodTestStat.h.

◆ DeclFileName()

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

inlinestatic

Returns: Name of the file containing the class declaration

Definition at line 132 of file ProfileLikelihoodTestStat.h.

◆ EnableDetailedOutput()

virtual void RooStats::ProfileLikelihoodTestStat::EnableDetailedOutput	(	bool	e = true,
		bool	withErrorsAndPulls = false )

inlinevirtual

Definition at line 75 of file ProfileLikelihoodTestStat.h.

◆ Evaluate()

double RooStats::ProfileLikelihoodTestStat::Evaluate	(	RooAbsData &	data,
		RooArgSet &	paramsOfInterest )

inlineoverridevirtual

Main interface to evaluate the test statistic on a dataset.

Implements RooStats::TestStatistic.

Definition at line 68 of file ProfileLikelihoodTestStat.h.

◆ EvaluateProfileLikelihood()

double RooStats::ProfileLikelihoodTestStat::EvaluateProfileLikelihood	(	int	type,
		RooAbsData &	data,
		RooArgSet &	paramsOfInterest )

virtual

evaluate the profile likelihood ratio (type = 0) or the minimum of likelihood (type=1) or the conditional LL (type = 2)

internal function to evaluate test statistics can do depending on type:

type = 0 standard evaluation,
type = 1 find only unconditional NLL minimum,
type = 2 conditional MLL

Definition at line 53 of file ProfileLikelihoodTestStat.cxx.

◆ GetDetailedOutput()

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

inlineoverridevirtual

Returns detailed output.

The value returned by this function is updated after each call to Evaluate(). The returned RooArgSet contains the following:

the minimum nll, fitstatus and convergence quality for each fit
for each fit and for each non-constant parameter, the value, error and pull of the parameter are stored

Reimplemented from RooStats::TestStatistic.

Definition at line 86 of file ProfileLikelihoodTestStat.h.

◆ GetMinNLL()

std::unique_ptr< RooFitResult > RooStats::ProfileLikelihoodTestStat::GetMinNLL ( )

private

find minimum of NLL using RooMinimizer

Definition at line 290 of file ProfileLikelihoodTestStat.cxx.

◆ GetPdf()

virtual RooAbsPdf * RooStats::ProfileLikelihoodTestStat::GetPdf ( ) const

inlinevirtual

Definition at line 101 of file ProfileLikelihoodTestStat.h.

◆ GetVarName()

const TString RooStats::ProfileLikelihoodTestStat::GetVarName ( ) const

inlineoverridevirtual

Implements RooStats::TestStatistic.

Definition at line 99 of file ProfileLikelihoodTestStat.h.

◆ IsA()

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

inlineoverridevirtual

Returns: TClass describing current object

Reimplemented from RooStats::TestStatistic.

Definition at line 132 of file ProfileLikelihoodTestStat.h.

◆ IsOneSidedDiscovery()

bool RooStats::ProfileLikelihoodTestStat::IsOneSidedDiscovery ( ) const

inline

Definition at line 54 of file ProfileLikelihoodTestStat.h.

◆ IsTwoSided()

bool RooStats::ProfileLikelihoodTestStat::IsTwoSided ( ) const

inline

Definition at line 53 of file ProfileLikelihoodTestStat.h.

◆ SetAlwaysReuseNLL()

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

static

Definition at line 44 of file ProfileLikelihoodTestStat.cxx.

◆ SetConditionalObservables()

void RooStats::ProfileLikelihoodTestStat::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 92 of file ProfileLikelihoodTestStat.h.

◆ SetGlobalObservables()

void RooStats::ProfileLikelihoodTestStat::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 96 of file ProfileLikelihoodTestStat.h.