RooStats

RooStats is a package containing statistical tools built on top of RooFit. More...

Namespaces
	RooStats
	Namespace for the RooStats classes.

Classes
class	RooStats::AsymptoticCalculator
	Hypothesis Test Calculator based on the asymptotic formulae for the profile likelihood ratio. More...
class	RooStats::BayesianCalculator
	BayesianCalculator is a concrete implementation of IntervalCalculator, providing the computation of a credible interval using a Bayesian method. More...
class	RooStats::ConfidenceBelt
	ConfidenceBelt is a concrete implementation of the ConfInterval interface. More...
class	RooStats::ConfInterval
	ConfInterval is an interface class for a generic interval in the RooStats framework. More...
class	RooStats::FeldmanCousins
	The FeldmanCousins class (like the Feldman-Cousins technique) is essentially a specific configuration of the more general NeymanConstruction. More...
class	RooStats::FrequentistCalculator
	Hypothesis Test Calculator using a full frequentist procedure for sampling the test statistic distribution. More...
class	RooStats::Heaviside
	Represents the Heaviside function. More...
class	RooStats::HLFactory
	HLFactory is an High Level model Factory allows you to describe your models in a configuration file (datacards) acting as an interface with the RooFactoryWSTool. More...
class	RooStats::HybridCalculator
	This class implements the Hypothesis test calculation using an hybrid (frequentist/bayesian) procedure. More...
class	RooStats::HypoTestCalculator
	HypoTestCalculator is an interface class for a tools which produce RooStats HypoTestResults. More...
class	RooStats::HypoTestCalculatorGeneric
	Common base class for the Hypothesis Test Calculators. More...
class	RooStats::HypoTestInverter
	HypoTestInverter class for performing an hypothesis test inversion by scanning the hypothesis test results of an HypoTestCalculator for various values of the parameter of interest. More...
class	RooStats::HypoTestInverterPlot
	Class to plot an HypoTestInverterResult, result of the HypoTestInverter calculator. More...
class	RooStats::HypoTestInverterResult
	HypoTestInverterResult class: holds the array of hypothesis test results and compute a confidence interval. More...
class	RooStats::HypoTestPlot
	This class provides the plots for the result of a study performed with any of the HypoTestCalculatorGeneric (e.g. More...
class	RooStats::HypoTestResult
	HypoTestResult is a base class for results from hypothesis tests. More...
class	RooStats::IntervalCalculator
	IntervalCalculator is an interface class for a tools which produce RooStats ConfIntervals. More...
class	RooStats::LikelihoodInterval
	LikelihoodInterval is a concrete implementation of the RooStats::ConfInterval interface. More...
class	RooStats::LikelihoodIntervalPlot
	This class provides simple and straightforward utilities to plot a LikelihoodInterval object. More...
class	RooStats::MarkovChain
	Stores the steps in a Markov Chain of points. More...
class	RooStats::MaxLikelihoodEstimateTestStat
	MaxLikelihoodEstimateTestStat: TestStatistic that returns maximum likelihood estimate of a specified parameter. More...
class	RooStats::MCMCCalculator
	Bayesian Calculator estimating an interval or a credible region using the Markov-Chain Monte Carlo method to integrate the likelihood function with the prior to obtain the posterior function. More...
class	RooStats::MCMCIntervalPlot
	This class provides simple and straightforward utilities to plot a MCMCInterval object. More...
class	RooStats::MetropolisHastings
	This class uses the Metropolis-Hastings algorithm to construct a Markov Chain of data points using Monte Carlo. More...
class	RooStats::MinNLLTestStat
	MinNLLTestStat is an implementation of the TestStatistic interface that calculates the minimum value of the negative log likelihood function and returns it as a test statistic. More...
class	RooStats::ModelConfig
	ModelConfig is a simple class that holds configuration information specifying how a model should be used in the context of various RooStats tools. More...
class	RooStats::NeymanConstruction
	NeymanConstruction is a concrete implementation of the NeymanConstruction interface that, as the name suggests, performs a NeymanConstruction. More...
class	RooStats::PdfProposal
	PdfProposal is a concrete implementation of the ProposalFunction interface. More...
class	RooStats::PointSetInterval
	PointSetInterval is a concrete implementation of the ConfInterval interface. More...
class	RooStats::ProfileLikelihoodCalculator
	ProfileLikelihoodCalculator is a concrete implementation of CombinedCalculator (the interface class for a tools which can produce both RooStats HypoTestResults and ConfIntervals). More...
class	RooStats::ProfileLikelihoodTestStat
	ProfileLikelihoodTestStat is an implementation of the TestStatistic interface that calculates the profile likelihood ratio at a particular parameter point given a dataset. More...
class	RooStats::ProofConfig
	Holds configuration options for proof and proof-lite. More...
class	RooStats::ProposalFunction
	ProposalFunction is an interface for all proposal functions that would be used with a Markov Chain Monte Carlo algorithm. More...
class	RooStats::SamplingDistPlot
	This class provides simple and straightforward utilities to plot SamplingDistribution objects. More...
class	RooStats::SamplingDistribution
	This class simply holds a sampling distribution of some test statistic. More...
class	RooStats::SequentialProposal
	Class implementing a proposal function that samples the parameter space by moving only in one coordinate (choosen randomly) at each step. More...
class	RooStats::SimpleLikelihoodRatioTestStat
	TestStatistic class that returns -log(L[null] / L[alt]) where L is the likelihood. More...
class	RooStats::SPlot
	This class calculates sWeights used to create an sPlot. More...
class	RooStats::TestStatistic
	TestStatistic is an interface class to provide a facility for construction test statistics distributions to the NeymanConstruction class. More...
class	RooStats::TestStatSampler
	TestStatSampler is an interface class for a tools which produce RooStats SamplingDistributions. More...
class	RooStats::ToyMCImportanceSampler
	ToyMCImportanceSampler is an extension of the ToyMCSampler for Importance Sampling. More...
class	RooStats::ToyMCSampler
	ToyMCSampler is an implementation of the TestStatSampler interface. More...
class	RooStats::ToyMCStudy
	ToyMCStudy is an implementation of RooAbsStudy for toy Monte Carlo sampling. More...
class	RooStats::UniformProposal
	UniformProposal is a concrete implementation of the ProposalFunction interface for use with a Markov Chain Monte Carlo algorithm. More...
class	RooStats::CombinedCalculator
	CombinedCalculator is an interface class for a tools which can produce both RooStats HypoTestResults and ConfIntervals. More...
class	RooStats::BernsteinCorrection
	BernsteinCorrection is a utility in RooStats to augment a nominal PDF with a polynomial correction term. More...

Enumerations
enum	RooStats::HypoTestInverter::ECalculatorType { RooStats::HypoTestInverter::kUndefined = 0, RooStats::HypoTestInverter::kHybrid = 1, RooStats::HypoTestInverter::kFrequentist = 2, RooStats::HypoTestInverter::kAsymptotic = 3 }
enum	RooStats::HypoTestInverterResult::InterpolOption_t { RooStats::HypoTestInverterResult::kLinear, RooStats::HypoTestInverterResult::kSpline }
enum	RooStats::MetropolisHastings::FunctionSign { RooStats::MetropolisHastings::kNegative, RooStats::MetropolisHastings::kPositive, RooStats::MetropolisHastings::kSignUnset }
enum	RooStats::MetropolisHastings::FunctionType { RooStats::MetropolisHastings::kRegular, RooStats::MetropolisHastings::kLog, RooStats::MetropolisHastings::kTypeUnset }
enum	RooStats::ProfileLikelihoodTestStat::LimitType { RooStats::ProfileLikelihoodTestStat::twoSided, RooStats::ProfileLikelihoodTestStat::oneSided, RooStats::ProfileLikelihoodTestStat::oneSidedDiscovery }
enum	{ RooStats::SPlot::kOwnData = BIT(20) }

Detailed Description

RooStats is a package containing statistical tools built on top of RooFit.

See the RooStats (Twiki Page)[https://twiki.cern.ch/twiki/bin/view/RooStats/WebHome] for more information.

Enumeration Type Documentation

anonymous enum

protected

Enumerator
kOwnData

Definition at line 92 of file SPlot.h.

enum RooStats::HypoTestInverter::ECalculatorType

Enumerator
kUndefined
kHybrid
kFrequentist
kAsymptotic

Definition at line 65 of file HypoTestInverter.h.

enum RooStats::MetropolisHastings::FunctionSign

Enumerator
kNegative
kPositive
kSignUnset

Definition at line 73 of file MetropolisHastings.h.

enum RooStats::MetropolisHastings::FunctionType

Enumerator
kRegular
kLog
kTypeUnset

Definition at line 74 of file MetropolisHastings.h.

enum RooStats::HypoTestInverterResult::InterpolOption_t

Enumerator
kLinear
kSpline

Definition at line 174 of file HypoTestInverterResult.h.

enum RooStats::ProfileLikelihoodTestStat::LimitType

private

Enumerator
twoSided
oneSided
oneSidedDiscovery

Definition at line 59 of file ProfileLikelihoodTestStat.h.