#include <XeStat.h>

Inheritance diagram for Likelihood:

Public Member Functions
virtual double	computeTheLogLikelihood ()=0

double	computeTheConstraint ()

	Likelihood (TString name)

double	getSigmaHat ()

double	getLogD ()

bool	parameterExists (int p)

void	addParameter (int id, int type, TString nam, double initialVal, double step, double mi, double ma)

void	addParameter (LKParameter *param, int id=SAME)

void	replaceParameter (LKParameter *param)

void	addParameterTolerant (LKParameter *param)

void	activateParameter (LKParameter *param, bool active=true)

void	removeParameter (LKParameter *param, bool tolerant=false)

void	removeParameter (int id, bool tolerant=false)

void	listParameters ()

void	printInitialParameters ()

void	printResultParameters ()

void	printCurrentParameters ()

void	printCurrentParameters (bool with_err)

void	ignoreParameter (int id)

void	setParameterType (int id, int type)

void	setParameterValue (int id, double v)

void	setInitialValue (int id, double v)

double	getParameterValue (int id)

double	maximize (bool freezeParametersOfInterest)

double	maximizeNumerically (int numberOfToys, bool freezeParametersOfInterest)

void	setSeed (double Inputseed)

int	getNTotalParameters ()

int	getNActiveParameters ()

int	getNParametersOfInterest ()

int	getNMinuitParameters ()

int	getNNuisanceParameters ()

int	getNParameters (int type)

void	resetParameters ()

LKParameter *	getParameter (int id)

LKParameter *	getPOI ()

map< int, LKParameter * > *	getParameters ()
	get Parameter Of Interest

TH1F	getPullsHisto ()

void	setCurrentValues (const double v, const double ers=NULL)

void	setCurrentValuesInMinuitUnits (const double v, const double e=NULL)

void	setCombinedMode (bool mode=true)

void	printInitialHeader ()

void	printCurrentHeader ()

bool	checkConsistency ()

bool	inCombinedMode ()

int	mapMinuitParameters (bool freezeParametersOfInterest)

int	getNParametersForChi2 ()

void	forceNParametersOfInterest (int nF)

void	clearTheParameters ()

Public Member Functions inherited from XeStat
	XeStat (TString name)

void	setName (TString nam="No_Name")
	helper method to set the name of this instance.

TString	getName ()
	helper method to return the name of this instance.

void	setExperiment (int exp)
	set the experiment number, usefull for combination

int	getExperiment ()
	set the experiment number, usefull for combination

Public Member Functions inherited from errorHandler
	errorHandler (TString name)

void	Error (TString functionName, TString message)
	Send an Error message to the user. More...

void	Warning (TString functionName, TString message)
	Send a Warning message to the user. More...

void	Info (TString functionName, TString message)
	Send an Info message to the user. More...

void	Debug (TString functionName, TString message)
	Send a Debug message to the user. More...

void	setPrintLevel (int level)
	Set the local printing level (for this instance only) More...

int	getPrintLevel ()
	Return the current print level for this instance. remind that if you set with setPrintLevel this will override the global print level.

Public Member Functions inherited from printTools
	printTools ()
	---------— Print Toools -----------— ///

Static Public Member Functions
static double	shapeLikelihood (vector< int > bins, int nDist, double dists, double norm)

Static Public Member Functions inherited from XeStat
static void	setAnalysisMode (int mode)

static int	getAnalysisMode ()

static bool	checkAnalysisMode (TString name, int requested)

static bool	isAnalysisDefined (bool verbose=false)

static bool	isCutsBased ()

static bool	isPL ()

static int	getSigmaLinLog (int unit)

static TString	getAnalysisModeName ()

static TString	getAnalysisModeName (int mode)

static TString	getSystematicModeName (int syst)

static TString	getSigmaUnitName (int unit)

static TString	getSigmaLabel (int unit)

static TString	getSigmaModeName (int mode)

static TString	getUpperSigmaLabel (int unit)

Static Public Member Functions inherited from printTools
static TString	upperCase (TString s)

static TString	lowerCase (TString s)

static TString	trim (TString s)

static TString	justify (TString s, int w, bool left, bool trim)

static TString	rightJustify (TString s, int w, bool trim=false)

static TString	leftJustify (TString s, int w, bool trim=false)

static TString	format0I (int v, int w=1)

static TString	formatLI (int v, int w=1, int p=1)

static TString	formatRI (int v, int w=1, int p=1)

static TString	formatF (double v, int w=1, int p=1)

static TString	formatR (double v, int w=1, int p=1)

static TString	formatLF (double v, int w=1, int p=1)

static TString	formatRF (double v, int w=1, int p=1)

static TString	formatG (double v, int w=1, int p=1)

static TString	formatLG (double v, int w=1, int p=1)

static TString	formatRG (double v, int w=1, int p=1)

static TString	formatI (int v, int w=1, int trailer=0)

static TString	doOrDont (bool b)

Public Attributes
double	seed

Public Attributes inherited from errorHandler
int	localPrintLevel

TString	className

Protected Member Functions
void	setup ()

void	clear ()

bool	checkParameter (int p, bool shouldExist)

Protected Attributes
int	currentId

int	nParametersOfInterest

int	nActiveParameters

int	nNuisanceParameters

int	forcedNParametersOfInterest

bool	combinedMode

vector< LKParameter * >	MinuitParameters

map< int, LKParameter * >	parameters

double	sigmaHat

double	LogD

Protected Attributes inherited from XeStat
TString	name

int	experiment

Additional Inherited Members
Static Public Attributes inherited from errorHandler
static int	globalPrintLevel = 1

Static Protected Attributes inherited from XeStat
static int	analysisMode = NO_ANALYSIS

Detailed Description

A likelihood object, consisting of parameters. This is a virtual class

Constructor & Destructor Documentation

◆ Likelihood()

Likelihood::Likelihood ( TString name )

Constructor

Parameters

name	name of the object

Member Function Documentation

◆ activateParameter()

void Likelihood::activateParameter	(	LKParameter *	param,
		bool	active = `true`
	)

Activate (add or remove) a parameter with its own id

Parameters

param	pointer to existing LKParameter
active	activate(true) or disable (true)

◆ addParameter() [1/2]

void Likelihood::addParameter	(	int	id,
		int	type,
		TString	nam,
		double	initialVal,
		double	step,
		double	mi,
		double	ma
	)

Add a parameter

Parameters

id	either its hard coded id or the keyword AUTO
type	NUISANCE_PARAMETER,PARAMETER_OF_INTEREST or FIXED_PARAMETER
name	parameter name
initialVal	initial value
step	step for minimisation
mi	minimum value
ma	maximum value

◆ addParameter() [2/2]

void Likelihood::addParameter	(	LKParameter *	param,
		int	id = `SAME`
	)

add an existing parameter

Parameters

param	pointer to existing LKParameter
id	requested id, or SAME (the one coded in the parameter), or AUTO

◆ addParameterTolerant()

void Likelihood::addParameterTolerant ( LKParameter * param )

Add a parameter with its own id, wheter already added or not

Parameters

param pointer to existing LKParameter

◆ computeTheLogLikelihood()

virtual double Likelihood::computeTheLogLikelihood ( )

pure virtual

Returns: Pure virtual method returning the log likelihood

Parameters

none	All parameters values set thru LKParameter

Implemented in CombinedProfileLikelihood, and pdfLikelihood.

◆ getLogD()

double Likelihood::getLogD ( )

Return the log likelilood for the estimated sigma

◆ getSigmaHat()

double Likelihood::getSigmaHat ( )

Method returning current estimated sigma

Returns: current value of estimated sigma

◆ parameterExists()

bool Likelihood::parameterExists ( int p )

Check wheher a parameter exists

◆ removeParameter() [1/2]

void Likelihood::removeParameter	(	LKParameter *	param,
		bool	tolerant = `false`
	)

Remove a parameter with its own id

Parameters

param	pointer to existing LKParameter
tolerant	don't issue a warning if it does not exist

◆ removeParameter() [2/2]

void Likelihood::removeParameter	(	int	id,
		bool	tolerant = `false`
	)

Remove a parameter giving its id

Parameters

id	identifier
tolerant	don't issue a warning if it does not exist

◆ replaceParameter()

void Likelihood::replaceParameter ( LKParameter * param )

Replace a parameter. If exists, delete the existing one

Parameters

param pointer to existing LKParameter

◆ setup()

void Likelihood::setup ( )

protected

Technical routine for constructors

◆ shapeLikelihood()

static double Likelihood::shapeLikelihood	(	vector< int > *	bins,
		int	nDist,
		double **	dists,
		double *	norm
	)

static

return the shape LL that a set of values comes from a mixture of tabulated parent distribution. Makes sure that no bin has a negative expetancy!

Returns: Log Likelihood

Parameters

bins	list of bin number of input values
nDists	number of distributions
dists	tabulated distributions
norm	normalized weights (i.e. normalized to 1.)

Member Data Documentation

◆ LogD

double Likelihood::LogD

protected

Saved value of Log Likelihood at estimated sigma

◆ sigmaHat

double Likelihood::sigmaHat

protected

Saved value of estimated sigma

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

SOURCE/src/XeStat.h
SOURCE/src/XeStat.cxx

Public Member Functions

Static Public Member Functions

Public Attributes

Protected Member Functions

Protected Attributes

Additional Inherited Members

Detailed Description

Constructor & Destructor Documentation

◆ Likelihood()

Member Function Documentation

◆ activateParameter()

◆ addParameter() [1/2]

◆ addParameter() [2/2]

◆ addParameterTolerant()

◆ computeTheLogLikelihood()

◆ getLogD()

◆ getSigmaHat()

◆ parameterExists()

◆ removeParameter() [1/2]

◆ removeParameter() [2/2]

◆ replaceParameter()

◆ setup()

◆ shapeLikelihood()

Member Data Documentation

◆ LogD

◆ sigmaHat