RooStats

RooStats is a toolkit for statistical tests built on top of RooFit.

RooStats is a package containing statistical tools built on top of RooFit. See the RooStats Twiki Page or the courses for more information.

For tutorials see RooStats Tutorials.

Modules
	HistFactory
	Factory classes to create RooFit workspaces from histograms.

Namespaces
namespace	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::BernsteinCorrection
	BernsteinCorrection is a utility in RooStats to augment a nominal PDF with a polynomial correction term. More...
class	RooStats::CombinedCalculator
	CombinedCalculator is an interface class for a tools which can produce both RooStats HypoTestResults and ConfIntervals. 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	DebuggingSampler
	DebuggingSampler is a simple implementation of the DistributionCreator interface used for debugging. More...
class	DebuggingTestStat
	DebuggingTestStat is a simple implementation of the DistributionCreator interface used for debugging. More...
class	RooStats::DetailedOutputAggregator
	This class is designed to aid in the construction of RooDataSets and RooArgSets, particularly those naturally arising in fitting operations. 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
	Does a frequentist hypothesis test. 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
	Same purpose as HybridCalculatorOriginal, but different implementation. More...
class	RooStats::HybridPlot
	This class provides the plots for the result of a study performed with the HybridCalculatorOriginal class. More...
class	RooStats::HybridResult
	Class encapsulating the result of the HybridCalculatorOriginal. 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
	A class for performing a hypothesis test inversion by scanning the hypothesis test results of a HypoTestCalculator for various values of the parameter of interest. More...
class	RooStats::HypoTestInverterPlot
	Class to plot a HypoTestInverterResult, the output 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::MCMCInterval
	MCMCInterval is a concrete implementation of the RooStats::ConfInterval interface. 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::NuisanceParametersSampler
	Helper class for ToyMCSampler. More...
class	RooStats::NumberCountingPdfFactory
	A factory for building PDFs and data for a number counting combination. More...
class	RooStats::NumEventsTestStat
	NumEventsTestStat is a simple implementation of the TestStatistic interface used for simple number counting. 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::ProfileInspector
	Utility class to plot conditional MLE of nuisance parameters vs. More...
class	RooStats::ProfileLikelihoodCalculator
	The ProfileLikelihoodCalculator is a concrete implementation of CombinedCalculator (the interface class for tools which can produce both a RooStats HypoTestResult and ConfInterval). 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::ProposalFunction
	ProposalFunction is an interface for all proposal functions that would be used with a Markov Chain Monte Carlo algorithm. More...
class	RooStats::ProposalHelper
class	RooStats::RatioOfProfiledLikelihoodsTestStat
	TestStatistic that returns the ratio of profiled likelihoods. 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 (chosen randomly) at each step. More...
class	RooStats::SimpleInterval
	SimpleInterval is a concrete implementation of the ConfInterval interface. More...
class	RooStats::SimpleLikelihoodRatioTestStat
	TestStatistic class that returns -log(L[null] / L[alt]) where L is the likelihood. More...
class	RooStats::SPlot
	A class to calculate "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::UniformProposal
	UniformProposal is a concrete implementation of the ProposalFunction interface for use with a Markov Chain Monte Carlo algorithm. More...
class	RooStats::UpperLimitMCSModule
	This class allow to compute in the ToyMcStudy framework the ProfileLikelihood upper limit for each toy-MC sample generated. More...