HypoTestInverterResult class: holds the array of hypothesis test results and compute a confidence interval.

Based on the RatioFinder code available in the RooStatsCms package developed by Gregory Schott and Danilo Piparo Ported and adapted to RooStats by Gregory Schott Some contributions to this class have been written by Matthias Wolf (error estimation)

Definition at line 38 of file HypoTestInverterResult.h.

Public Types
enum	InterpolOption_t { kLinear, kSpline }

Public Types inherited from TObject
enum	{ kIsOnHeap = 0x01000000, kNotDeleted = 0x02000000, kZombie = 0x04000000, kBitMask = 0x00ffffff }

enum	{ kSingleKey = BIT(0), kOverwrite = BIT(1), kWriteDelete = BIT(2) }

enum	EStatusBits { kCanDelete = BIT(0), kMustCleanup = BIT(3), kObjInCanvas = BIT(3), kIsReferenced = BIT(4), kHasUUID = BIT(5), kCannotPick = BIT(6), kNoContextMenu = BIT(8), kInvalidObject = BIT(13) }

Public Member Functions
	HypoTestInverterResult (const char *name=0)
	default constructor More...

	HypoTestInverterResult (const char *name, const RooRealVar &scannedVariable, double cl)
	constructor More...

	HypoTestInverterResult (const HypoTestInverterResult &other, const char *name)

virtual	~HypoTestInverterResult ()
	destructor More...

bool	Add (const HypoTestInverterResult &otherResult)
	merge with the content of another HypoTestInverterResult object More...

bool	Add (Double_t x, const HypoTestResult &result)
	add the result of a single point (an HypoTestRsult) More...

int	ArraySize () const
	number of entries in the results array More...

double	CLb (int index) const
	return the observed CLb value for the i-th entry More...

double	CLbError (int index) const
	return the observed CLb value for the i-th entry More...

double	CLs (int index) const
	return the observed CLb value for the i-th entry More...

double	CLsError (int index) const
	return the observed CLb value for the i-th entry More...

double	CLsplusb (int index) const
	return the observed CLsplusb value for the i-th entry More...

double	CLsplusbError (int index) const
	return the observed CLsplusb value for the i-th entry More...

int	ExclusionCleanup ()
	remove points that appear to have failed. More...

int	FindIndex (double xvalue) const

double	FindInterpolatedLimit (double target, bool lowSearch=false, double xmin=1, double xmax=0)

SamplingDistribution *	GetAltTestStatDist (int index) const

SamplingDistribution *	GetBackgroundTestStatDist (int index) const

double	GetExpectedLowerLimit (double nsig=0, const char *opt="") const
	get Limit value correspnding at the desired nsigma level (0) is median -1 sigma is 1 sigma More...

SamplingDistribution *	GetExpectedPValueDist (int index) const
	return expected distribution of p-values (Cls or Clsplusb) More...

double	GetExpectedUpperLimit (double nsig=0, const char *opt="") const
	get Limit value correspnding at the desired nsigma level (0) is median -1 sigma is 1 sigma More...

InterpolOption_t	GetInterpolationOption () const

HypoTestResult *	GetLastResult () const

double	GetLastXValue () const

double	GetLastYError () const

double	GetLastYValue () const

SamplingDistribution *	GetLowerLimitDistribution () const
	get expected lower limit distributions implemented using interpolation The size for the sampling distribution is given (by default is given by the average number of toy/point) More...

SamplingDistribution *	GetNullTestStatDist (int index) const
	same in terms of alt and null More...

HypoTestResult *	GetResult (int index) const
	return a pointer to the i^th result object More...

SamplingDistribution *	GetSignalAndBackgroundTestStatDist (int index) const

SamplingDistribution *	GetUpperLimitDistribution () const
	get expected upper limit distributions implemented using interpolation More...

double	GetXValue (int index) const
	function to return the value of the parameter of interest for the i^th entry in the results More...

double	GetYError (int index) const
	function to return the estimated error on the value of the confidence level for the i^th entry in the results More...

double	GetYValue (int index) const
	function to return the value of the confidence level for the i^th entry in the results More...

bool	IsOneSided () const
	query if one sided result More...

bool	IsTwoSided () const
	query if two sided result More...

Double_t	LowerLimit ()
	lower and upper bound of the confidence interval (to get upper/lower limits, multiply the size( = 1-confidence level ) by 2 More...

Double_t	LowerLimitEstimatedError ()
	rough estimation of the error on the computed bound of the confidence interval Estimate of lower limit error function evaluates only a rought error on the lower limit. More...

HypoTestInverterResult &	operator= (const HypoTestInverterResult &other)
	operator = More...

void	SetCLsCleanupThreshold (Double_t th)
	set CLs threshold for exclusion cleanup function More...

virtual void	SetConfidenceLevel (Double_t cl)
	set the confidence level for the interval (eg. 0.95 for a 95% Confidence Interval) More...

void	SetInterpolationOption (InterpolOption_t opt)
	set the interpolation option, linear (kLinear ) or spline (kSpline) More...

virtual void	SetTestSize (Double_t size)
	set the size of the test (rate of Type I error) (eg. 0.05 for a 95% Confidence Interval) More...

Double_t	UpperLimit ()

Double_t	UpperLimitEstimatedError ()
	Estimate of lower limit error function evaluates only a rought error on the lower limit. More...

void	UseCLs (bool on=true)
	flag to switch between using CLsb (default) or CLs as confidence level More...

Public Member Functions inherited from RooStats::SimpleInterval
	SimpleInterval (const char *name=0)
	Default constructor. More...

	SimpleInterval (const SimpleInterval &other, const char *name)
	fParameters.add( other.fParameters ); More...

	SimpleInterval (const char *name, const RooRealVar &var, Double_t lower, Double_t upper, Double_t cl)
	Alternate constructor. More...

virtual	~SimpleInterval ()
	Destructor. More...

Bool_t	CheckParameters (const RooArgSet &) const
	check if parameters are correct (i.e. they are the POI of this interval) More...

virtual Double_t	ConfidenceLevel () const
	return confidence level More...

virtual RooArgSet *	GetParameters () const
	return cloned list of parameters More...

virtual Bool_t	IsInInterval (const RooArgSet &) const
	check if given point is in the interval More...

SimpleInterval &	operator= (const SimpleInterval &other)

Public Member Functions inherited from RooStats::ConfInterval
	ConfInterval (const char *name=0)
	constructor given name and title More...

virtual	~ConfInterval ()
	destructor More...

ConfInterval &	operator= (const ConfInterval &other)
	operator= More...

Public Member Functions inherited from TNamed
	TNamed ()

	TNamed (const char name, const char title)

	TNamed (const TString &name, const TString &title)

	TNamed (const TNamed &named)
	TNamed copy ctor. More...

virtual	~TNamed ()

virtual void	Clear (Option_t *option="")
	Set name and title to empty strings (""). More...

virtual TObject *	Clone (const char *newname="") const
	Make a clone of an object using the Streamer facility. More...

virtual Int_t	Compare (const TObject *obj) const
	Compare two TNamed objects. More...

virtual void	Copy (TObject &named) const
	Copy this to obj. More...

virtual void	FillBuffer (char *&buffer)
	Encode TNamed into output buffer. More...

virtual const char *	GetName () const
	Returns name of object. More...

virtual const char *	GetTitle () const
	Returns title of object. More...

virtual ULong_t	Hash () const
	Return hash value for this object. More...

virtual Bool_t	IsSortable () const

virtual void	ls (Option_t *option="") const
	List TNamed name and title. More...

TNamed &	operator= (const TNamed &rhs)
	TNamed assignment operator. More...

virtual void	Print (Option_t *option="") const
	Print TNamed name and title. More...

virtual void	SetName (const char *name)
	Set the name of the TNamed. More...

virtual void	SetNameTitle (const char name, const char title)
	Set all the TNamed parameters (name and title). More...

virtual void	SetTitle (const char *title="")
	Set the title of the TNamed. More...

virtual Int_t	Sizeof () const
	Return size of the TNamed part of the TObject. More...

Public Member Functions inherited from TObject
	TObject ()
	TObject constructor. More...

	TObject (const TObject &object)
	TObject copy ctor. More...

virtual	~TObject ()
	TObject destructor. More...

void	AbstractMethod (const char *method) const
	Use this method to implement an "abstract" method that you don't want to leave purely abstract. More...

virtual void	AppendPad (Option_t *option="")
	Append graphics object to current pad. More...

virtual void	Browse (TBrowser *b)
	Browse object. May be overridden for another default action. More...

virtual const char *	ClassName () const
	Returns name of class to which the object belongs. More...

virtual void	Delete (Option_t *option="")
	Delete this object. More...

virtual Int_t	DistancetoPrimitive (Int_t px, Int_t py)
	Computes distance from point (px,py) to the object. More...

virtual void	Draw (Option_t *option="")
	Default Draw method for all objects. More...

virtual void	DrawClass () const
	Draw class inheritance tree of the class to which this object belongs. More...

virtual TObject *	DrawClone (Option_t *option="") const
	Draw a clone of this object in the current pad. More...

virtual void	Dump () const
	Dump contents of object on stdout. More...

virtual void	Error (const char method, const char msgfmt,...) const
	Issue error message. More...

virtual void	Execute (const char method, const char params, Int_t *error=0)
	Execute method on this object with the given parameter string, e.g. More...

virtual void	Execute (TMethod method, TObjArray params, Int_t *error=0)
	Execute method on this object with parameters stored in the TObjArray. More...

virtual void	ExecuteEvent (Int_t event, Int_t px, Int_t py)
	Execute action corresponding to an event at (px,py). More...

virtual void	Fatal (const char method, const char msgfmt,...) const
	Issue fatal error message. More...

virtual TObject *	FindObject (const char *name) const
	Must be redefined in derived classes. More...

virtual TObject *	FindObject (const TObject *obj) const
	Must be redefined in derived classes. More...

virtual Option_t *	GetDrawOption () const
	Get option used by the graphics system to draw this object. More...

virtual const char *	GetIconName () const
	Returns mime type name of object. More...

virtual char *	GetObjectInfo (Int_t px, Int_t py) const
	Returns string containing info about the object at position (px,py). More...

virtual Option_t *	GetOption () const

virtual UInt_t	GetUniqueID () const
	Return the unique object id. More...

virtual Bool_t	HandleTimer (TTimer *timer)
	Execute action in response of a timer timing out. More...

virtual void	Info (const char method, const char msgfmt,...) const
	Issue info message. More...

virtual Bool_t	InheritsFrom (const char *classname) const
	Returns kTRUE if object inherits from class "classname". More...

virtual Bool_t	InheritsFrom (const TClass *cl) const
	Returns kTRUE if object inherits from TClass cl. More...

virtual void	Inspect () const
	Dump contents of this object in a graphics canvas. More...

void	InvertBit (UInt_t f)

virtual Bool_t	IsEqual (const TObject *obj) const
	Default equal comparison (objects are equal if they have the same address in memory). More...

virtual Bool_t	IsFolder () const
	Returns kTRUE in case object contains browsable objects (like containers or lists of other objects). More...

Bool_t	IsOnHeap () const

Bool_t	IsZombie () const

void	MayNotUse (const char *method) const
	Use this method to signal that a method (defined in a base class) may not be called in a derived class (in principle against good design since a child class should not provide less functionality than its parent, however, sometimes it is necessary). More...

virtual Bool_t	Notify ()
	This method must be overridden to handle object notification. More...

void	Obsolete (const char method, const char asOfVers, const char *removedFromVers) const
	Use this method to declare a method obsolete. More...

void	operator delete (void *ptr)
	Operator delete. More...

void	operator delete[] (void *ptr)
	Operator delete []. More...

void *	operator new (size_t sz)

void *	operator new (size_t sz, void *vp)

void *	operator new[] (size_t sz)

void *	operator new[] (size_t sz, void *vp)

TObject &	operator= (const TObject &rhs)
	TObject assignment operator. More...

virtual void	Paint (Option_t *option="")
	This method must be overridden if a class wants to paint itself. More...

virtual void	Pop ()
	Pop on object drawn in a pad to the top of the display list. More...

virtual Int_t	Read (const char *name)
	Read contents of object with specified name from the current directory. More...

virtual void	RecursiveRemove (TObject *obj)
	Recursively remove this object from a list. More...

void	ResetBit (UInt_t f)

virtual void	SaveAs (const char filename="", Option_t option="") const
	Save this object in the file specified by filename. More...

virtual void	SavePrimitive (std::ostream &out, Option_t *option="")
	Save a primitive as a C++ statement(s) on output stream "out". More...

void	SetBit (UInt_t f, Bool_t set)
	Set or unset the user status bits as specified in f. More...

void	SetBit (UInt_t f)

virtual void	SetDrawOption (Option_t *option="")
	Set drawing option for object. More...

virtual void	SetUniqueID (UInt_t uid)
	Set the unique object id. More...

virtual void	SysError (const char method, const char msgfmt,...) const
	Issue system error message. More...

Bool_t	TestBit (UInt_t f) const

Int_t	TestBits (UInt_t f) const

virtual void	UseCurrentStyle ()
	Set current style settings in this object This function is called when either TCanvas::UseCurrentStyle or TROOT::ForceStyle have been invoked. More...

virtual void	Warning (const char method, const char msgfmt,...) const
	Issue warning message. More...

virtual Int_t	Write (const char *name=0, Int_t option=0, Int_t bufsize=0)
	Write this object to the current directory. More...

virtual Int_t	Write (const char *name=0, Int_t option=0, Int_t bufsize=0) const
	Write this object to the current directory. More...

Protected Attributes
double	fCLsCleanupThreshold

TList	fExpPValues
	list of HypoTestResult for each point More...

bool	fFittedLowerLimit

bool	fFittedUpperLimit

bool	fInterpolateLowerLimit
	two sided scan (look for lower/upper limit) More...

bool	fInterpolateUpperLimit

InterpolOption_t	fInterpolOption

bool	fIsTwoSided

double	fLowerLimitError
	interpolatation option (linear or spline) More...

double	fUpperLimitError

bool	fUseCLs

std::vector< double >	fXValues
	number of points used to build expected p-values More...

TList	fYObjects

Protected Attributes inherited from RooStats::SimpleInterval
Double_t	fConfidenceLevel

Double_t	fLowerLimit

RooArgSet	fParameters

Double_t	fUpperLimit

Protected Attributes inherited from TNamed
TString	fName

TString	fTitle

Static Protected Attributes
static double	fgAsymptoticMaxSigma = 5

static int	fgAsymptoticNumPoints = 11
	max sigma value used to scan asymptotic expected p values More...

Private Member Functions
double	CalculateEstimatedError (double target, bool lower=true, double xmin=1, double xmax=0)

int	FindClosestPointIndex (double target, int mode=0, double xtarget=0)

double	GetExpectedLimit (double nsig, bool lower, const char *opt="") const

double	GetGraphX (const TGraph &g, double y0, bool lowSearch, double &xmin, double &xmax) const

double	GetGraphX (const TGraph &g, double y0, bool lowSearch=true) const

SamplingDistribution *	GetLimitDistribution (bool lower) const

Friends
class	HypoTestInverter
	list of expected sampling distribution for each point More...

class	HypoTestInverterOriginal

class	HypoTestInverterPlot

Additional Inherited Members
Static Public Member Functions inherited from TObject
static Long_t	GetDtorOnly ()
	Return destructor only flag. More...

static Bool_t	GetObjectStat ()
	Get status of object stat flag. More...

static void	SetDtorOnly (void *obj)
	Set destructor only flag. More...

static void	SetObjectStat (Bool_t stat)
	Turn on/off tracking of objects in the TObjectTable. More...

Protected Member Functions inherited from TObject
virtual void	DoError (int level, const char location, const char fmt, va_list va) const
	Interface to ErrorHandler (protected). More...

void	MakeZombie ()

#include <RooStats/HypoTestInverterResult.h>

Inheritance diagram for RooStats::HypoTestInverterResult:

[legend]

Member Enumeration Documentation

◆ InterpolOption_t

enum RooStats::HypoTestInverterResult::InterpolOption_t

Enumerator
kLinear
kSpline

Definition at line 174 of file HypoTestInverterResult.h.

Constructor & Destructor Documentation

◆ HypoTestInverterResult() [1/3]

HypoTestInverterResult::HypoTestInverterResult ( const char * name = 0 )

explicit

default constructor

Definition at line 45 of file HypoTestInverterResult.cxx.

◆ HypoTestInverterResult() [2/3]

HypoTestInverterResult::HypoTestInverterResult	(	const char *	name,
		const RooRealVar &	scannedVariable,
		double	cl
	)

constructor

Definition at line 136 of file HypoTestInverterResult.cxx.

◆ HypoTestInverterResult() [3/3]

HypoTestInverterResult::HypoTestInverterResult	(	const HypoTestInverterResult &	other,
		const char *	name
	)

Definition at line 67 of file HypoTestInverterResult.cxx.

◆ ~HypoTestInverterResult()

HypoTestInverterResult::~HypoTestInverterResult ( )

virtual

destructor

Definition at line 163 of file HypoTestInverterResult.cxx.

Member Function Documentation

◆ Add() [1/2]

bool HypoTestInverterResult::Add ( const HypoTestInverterResult & otherResult )

merge with the content of another HypoTestInverterResult object

Definition at line 297 of file HypoTestInverterResult.cxx.

◆ Add() [2/2]

bool HypoTestInverterResult::Add	(	Double_t	x,
		const HypoTestResult &	result
	)

add the result of a single point (an HypoTestRsult)

Definition at line 394 of file HypoTestInverterResult.cxx.

◆ ArraySize()

int RooStats::HypoTestInverterResult::ArraySize ( ) const

inline

number of entries in the results array

Definition at line 106 of file HypoTestInverterResult.h.

◆ CalculateEstimatedError()

Double_t HypoTestInverterResult::CalculateEstimatedError	(	double	target,
		bool	lower = `true`,
		double	xmin = `1`,
		double	xmax = `0`
	)

private

Definition at line 921 of file HypoTestInverterResult.cxx.

◆ CLb()

double HypoTestInverterResult::CLb ( int index ) const

return the observed CLb value for the i-th entry

Definition at line 457 of file HypoTestInverterResult.cxx.

◆ CLbError()

double HypoTestInverterResult::CLbError ( int index ) const

return the observed CLb value for the i-th entry

Definition at line 486 of file HypoTestInverterResult.cxx.

◆ CLs()

double HypoTestInverterResult::CLs ( int index ) const

return the observed CLb value for the i-th entry

Definition at line 476 of file HypoTestInverterResult.cxx.

◆ CLsError()

double HypoTestInverterResult::CLsError ( int index ) const

return the observed CLb value for the i-th entry

Definition at line 506 of file HypoTestInverterResult.cxx.

◆ CLsplusb()

double HypoTestInverterResult::CLsplusb ( int index ) const

return the observed CLsplusb value for the i-th entry

Definition at line 467 of file HypoTestInverterResult.cxx.

◆ CLsplusbError()

double HypoTestInverterResult::CLsplusbError ( int index ) const

return the observed CLsplusb value for the i-th entry

Definition at line 496 of file HypoTestInverterResult.cxx.

◆ ExclusionCleanup()

int HypoTestInverterResult::ExclusionCleanup ( )

remove points that appear to have failed.

Definition at line 174 of file HypoTestInverterResult.cxx.

◆ FindClosestPointIndex()

int HypoTestInverterResult::FindClosestPointIndex	(	double	target,
		int	mode = `0`,
		double	xtarget = `0`
	)

private

Definition at line 833 of file HypoTestInverterResult.cxx.

◆ FindIndex()

int HypoTestInverterResult::FindIndex ( double xvalue ) const

Definition at line 527 of file HypoTestInverterResult.cxx.

◆ FindInterpolatedLimit()

double HypoTestInverterResult::FindInterpolatedLimit	(	double	target,
		bool	lowSearch = `false`,
		double	xmin = `1`,
		double	xmax = `0`
	)

Definition at line 674 of file HypoTestInverterResult.cxx.

◆ GetAltTestStatDist()

SamplingDistribution* RooStats::HypoTestInverterResult::GetAltTestStatDist ( int index ) const

inline

Definition at line 152 of file HypoTestInverterResult.h.

◆ GetBackgroundTestStatDist()

SamplingDistribution * HypoTestInverterResult::GetBackgroundTestStatDist ( int index ) const

Definition at line 1055 of file HypoTestInverterResult.cxx.

◆ GetExpectedLimit()

double HypoTestInverterResult::GetExpectedLimit	(	double	nsig,
		bool	lower,
		const char *	opt = `""`
	)		const

private

Definition at line 1252 of file HypoTestInverterResult.cxx.

◆ GetExpectedLowerLimit()

double HypoTestInverterResult::GetExpectedLowerLimit	(	double	nsig = `0`,
		const char *	opt = `""`
	)		const

get Limit value correspnding at the desired nsigma level (0) is median -1 sigma is 1 sigma

Definition at line 1218 of file HypoTestInverterResult.cxx.

◆ GetExpectedPValueDist()

SamplingDistribution * HypoTestInverterResult::GetExpectedPValueDist ( int index ) const

return expected distribution of p-values (Cls or Clsplusb)

Definition at line 1070 of file HypoTestInverterResult.cxx.

◆ GetExpectedUpperLimit()

double HypoTestInverterResult::GetExpectedUpperLimit	(	double	nsig = `0`,
		const char *	opt = `""`
	)		const

get Limit value correspnding at the desired nsigma level (0) is median -1 sigma is 1 sigma

Definition at line 1233 of file HypoTestInverterResult.cxx.

◆ GetGraphX() [1/2]

double HypoTestInverterResult::GetGraphX	(	const TGraph &	g,
		double	y0,
		bool	lowSearch,
		double &	xmin,
		double &	xmax
	)		const

private

Definition at line 556 of file HypoTestInverterResult.cxx.

◆ GetGraphX() [2/2]

double RooStats::HypoTestInverterResult::GetGraphX	(	const TGraph &	g,
		double	y0,
		bool	lowSearch = `true`
	)		const

inlineprivate

Definition at line 193 of file HypoTestInverterResult.h.

◆ GetInterpolationOption()

InterpolOption_t RooStats::HypoTestInverterResult::GetInterpolationOption ( ) const

inline

Definition at line 179 of file HypoTestInverterResult.h.

◆ GetLastResult()

HypoTestResult* RooStats::HypoTestInverterResult::GetLastResult ( ) const

inline

Definition at line 103 of file HypoTestInverterResult.h.

◆ GetLastXValue()

double RooStats::HypoTestInverterResult::GetLastXValue ( ) const

inline

Definition at line 99 of file HypoTestInverterResult.h.

◆ GetLastYError()

double RooStats::HypoTestInverterResult::GetLastYError ( ) const

inline

Definition at line 101 of file HypoTestInverterResult.h.

◆ GetLastYValue()

double RooStats::HypoTestInverterResult::GetLastYValue ( ) const

inline

Definition at line 97 of file HypoTestInverterResult.h.

◆ GetLimitDistribution()

SamplingDistribution * HypoTestInverterResult::GetLimitDistribution ( bool lower ) const

private

Definition at line 1125 of file HypoTestInverterResult.cxx.

◆ GetLowerLimitDistribution()

SamplingDistribution* RooStats::HypoTestInverterResult::GetLowerLimitDistribution ( ) const

inline

get expected lower limit distributions implemented using interpolation The size for the sampling distribution is given (by default is given by the average number of toy/point)

Definition at line 159 of file HypoTestInverterResult.h.

◆ GetNullTestStatDist()

SamplingDistribution* RooStats::HypoTestInverterResult::GetNullTestStatDist ( int index ) const

inline

same in terms of alt and null

Definition at line 149 of file HypoTestInverterResult.h.

◆ GetResult()

HypoTestResult * HypoTestInverterResult::GetResult ( int index ) const

return a pointer to the i^th result object

Definition at line 516 of file HypoTestInverterResult.cxx.

◆ GetSignalAndBackgroundTestStatDist()

SamplingDistribution * HypoTestInverterResult::GetSignalAndBackgroundTestStatDist ( int index ) const

Definition at line 1063 of file HypoTestInverterResult.cxx.

◆ GetUpperLimitDistribution()

SamplingDistribution* RooStats::HypoTestInverterResult::GetUpperLimitDistribution ( ) const

inline

get expected upper limit distributions implemented using interpolation

Definition at line 163 of file HypoTestInverterResult.h.

◆ GetXValue()

double HypoTestInverterResult::GetXValue ( int index ) const

function to return the value of the parameter of interest for the i^th entry in the results

Definition at line 416 of file HypoTestInverterResult.cxx.

◆ GetYError()

double HypoTestInverterResult::GetYError ( int index ) const

function to return the estimated error on the value of the confidence level for the i^th entry in the results

Definition at line 442 of file HypoTestInverterResult.cxx.

◆ GetYValue()

double HypoTestInverterResult::GetYValue ( int index ) const

function to return the value of the confidence level for the i^th entry in the results

Definition at line 427 of file HypoTestInverterResult.cxx.

◆ IsOneSided()

bool RooStats::HypoTestInverterResult::IsOneSided ( ) const

inline

query if one sided result

Definition at line 123 of file HypoTestInverterResult.h.

◆ IsTwoSided()

bool RooStats::HypoTestInverterResult::IsTwoSided ( ) const

inline

query if two sided result

Definition at line 125 of file HypoTestInverterResult.h.

◆ LowerLimit()

Double_t HypoTestInverterResult::LowerLimit ( )

virtual

lower and upper bound of the confidence interval (to get upper/lower limits, multiply the size( = 1-confidence level ) by 2

Reimplemented from RooStats::SimpleInterval.

Definition at line 894 of file HypoTestInverterResult.cxx.

◆ LowerLimitEstimatedError()

Double_t HypoTestInverterResult::LowerLimitEstimatedError ( )

rough estimation of the error on the computed bound of the confidence interval Estimate of lower limit error function evaluates only a rought error on the lower limit.

Be careful when using this estimation

Definition at line 1037 of file HypoTestInverterResult.cxx.

◆ operator=()

HypoTestInverterResult & HypoTestInverterResult::operator= ( const HypoTestInverterResult & other )

operator =

Definition at line 97 of file HypoTestInverterResult.cxx.

◆ SetCLsCleanupThreshold()

void RooStats::HypoTestInverterResult::SetCLsCleanupThreshold ( Double_t th )

inline

set CLs threshold for exclusion cleanup function

Definition at line 117 of file HypoTestInverterResult.h.

◆ SetConfidenceLevel()

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

inlinevirtual

set the confidence level for the interval (eg. 0.95 for a 95% Confidence Interval)

Reimplemented from RooStats::SimpleInterval.

Definition at line 114 of file HypoTestInverterResult.h.

◆ SetInterpolationOption()

void RooStats::HypoTestInverterResult::SetInterpolationOption ( InterpolOption_t opt )

inline

set the interpolation option, linear (kLinear ) or spline (kSpline)

Definition at line 177 of file HypoTestInverterResult.h.

◆ SetTestSize()

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

inlinevirtual

set the size of the test (rate of Type I error) (eg. 0.05 for a 95% Confidence Interval)

Definition at line 111 of file HypoTestInverterResult.h.

◆ UpperLimit()

Double_t HypoTestInverterResult::UpperLimit ( )

virtual

Reimplemented from RooStats::SimpleInterval.

Definition at line 908 of file HypoTestInverterResult.cxx.

◆ UpperLimitEstimatedError()

Double_t HypoTestInverterResult::UpperLimitEstimatedError ( )

Estimate of lower limit error function evaluates only a rought error on the lower limit.

Be careful when using this estimation

Definition at line 1047 of file HypoTestInverterResult.cxx.

◆ UseCLs()

void RooStats::HypoTestInverterResult::UseCLs ( bool on = true )

inline

flag to switch between using CLsb (default) or CLs as confidence level

Definition at line 120 of file HypoTestInverterResult.h.

Friends And Related Function Documentation

◆ HypoTestInverter

friend class HypoTestInverter

friend

list of expected sampling distribution for each point

Definition at line 222 of file HypoTestInverterResult.h.

◆ HypoTestInverterOriginal

friend class HypoTestInverterOriginal

friend

Definition at line 224 of file HypoTestInverterResult.h.

◆ HypoTestInverterPlot

friend class HypoTestInverterPlot

friend

Definition at line 223 of file HypoTestInverterResult.h.

Member Data Documentation

◆ fCLsCleanupThreshold

double RooStats::HypoTestInverterResult::fCLsCleanupThreshold

protected

Definition at line 212 of file HypoTestInverterResult.h.

◆ fExpPValues

TList RooStats::HypoTestInverterResult::fExpPValues

protected

list of HypoTestResult for each point

Definition at line 220 of file HypoTestInverterResult.h.

◆ fFittedLowerLimit

bool RooStats::HypoTestInverterResult::fFittedLowerLimit

protected

Definition at line 205 of file HypoTestInverterResult.h.

◆ fFittedUpperLimit

bool RooStats::HypoTestInverterResult::fFittedUpperLimit

protected

Definition at line 206 of file HypoTestInverterResult.h.

◆ fgAsymptoticMaxSigma

double HypoTestInverterResult::fgAsymptoticMaxSigma = 5

staticprotected

Definition at line 214 of file HypoTestInverterResult.h.

◆ fgAsymptoticNumPoints

int HypoTestInverterResult::fgAsymptoticNumPoints = 11

staticprotected

max sigma value used to scan asymptotic expected p values

Definition at line 215 of file HypoTestInverterResult.h.

◆ fInterpolateLowerLimit

bool RooStats::HypoTestInverterResult::fInterpolateLowerLimit

protected

two sided scan (look for lower/upper limit)

Definition at line 203 of file HypoTestInverterResult.h.

◆ fInterpolateUpperLimit

bool RooStats::HypoTestInverterResult::fInterpolateUpperLimit

protected

Definition at line 204 of file HypoTestInverterResult.h.

◆ fInterpolOption

InterpolOption_t RooStats::HypoTestInverterResult::fInterpolOption

protected

Definition at line 207 of file HypoTestInverterResult.h.

◆ fIsTwoSided

bool RooStats::HypoTestInverterResult::fIsTwoSided

protected

Definition at line 202 of file HypoTestInverterResult.h.

◆ fLowerLimitError

double RooStats::HypoTestInverterResult::fLowerLimitError

protected

interpolatation option (linear or spline)

Definition at line 209 of file HypoTestInverterResult.h.

◆ fUpperLimitError

double RooStats::HypoTestInverterResult::fUpperLimitError

protected

Definition at line 210 of file HypoTestInverterResult.h.

◆ fUseCLs

bool RooStats::HypoTestInverterResult::fUseCLs

protected

Definition at line 201 of file HypoTestInverterResult.h.

◆ fXValues

std::vector<double> RooStats::HypoTestInverterResult::fXValues

protected

number of points used to build expected p-values

Definition at line 217 of file HypoTestInverterResult.h.

◆ fYObjects

TList RooStats::HypoTestInverterResult::fYObjects

protected

Definition at line 219 of file HypoTestInverterResult.h.

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

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

Public Types

Public Member Functions

Protected Attributes

Static Protected Attributes

Private Member Functions

Friends

Additional Inherited Members

Member Enumeration Documentation

◆ InterpolOption_t

Constructor & Destructor Documentation

◆ HypoTestInverterResult() [1/3]

◆ HypoTestInverterResult() [2/3]

◆ HypoTestInverterResult() [3/3]

◆ ~HypoTestInverterResult()

Member Function Documentation

◆ Add() [1/2]

◆ Add() [2/2]

◆ ArraySize()

◆ CalculateEstimatedError()

◆ CLb()

◆ CLbError()

◆ CLs()

◆ CLsError()

◆ CLsplusb()

◆ CLsplusbError()

◆ ExclusionCleanup()

◆ FindClosestPointIndex()

◆ FindIndex()

◆ FindInterpolatedLimit()

◆ GetAltTestStatDist()

◆ GetBackgroundTestStatDist()

◆ GetExpectedLimit()

◆ GetExpectedLowerLimit()

◆ GetExpectedPValueDist()

◆ GetExpectedUpperLimit()

◆ GetGraphX() [1/2]

◆ GetGraphX() [2/2]

◆ GetInterpolationOption()

◆ GetLastResult()

◆ GetLastXValue()

◆ GetLastYError()

◆ GetLastYValue()

◆ GetLimitDistribution()

◆ GetLowerLimitDistribution()

◆ GetNullTestStatDist()

◆ GetResult()

◆ GetSignalAndBackgroundTestStatDist()

◆ GetUpperLimitDistribution()

◆ GetXValue()

◆ GetYError()

◆ GetYValue()

◆ IsOneSided()

◆ IsTwoSided()

◆ LowerLimit()

◆ LowerLimitEstimatedError()

◆ operator=()

◆ SetCLsCleanupThreshold()

◆ SetConfidenceLevel()

◆ SetInterpolationOption()

◆ SetTestSize()

◆ UpperLimit()

◆ UpperLimitEstimatedError()

◆ UseCLs()

Friends And Related Function Documentation

◆ HypoTestInverter

◆ HypoTestInverterOriginal

◆ HypoTestInverterPlot

Member Data Documentation

◆ fCLsCleanupThreshold

◆ fExpPValues

◆ fFittedLowerLimit

◆ fFittedUpperLimit

◆ fgAsymptoticMaxSigma

◆ fgAsymptoticNumPoints

◆ fInterpolateLowerLimit

◆ fInterpolateUpperLimit

◆ fInterpolOption

◆ fIsTwoSided

◆ fLowerLimitError

◆ fUpperLimitError