Namespace for the RooStats classes. More...
Namespaces | |
namespace | HistFactory |
namespace | NumberCountingUtils |
namespace | ROOTDict |
Classes | |
class | AcceptanceRegion |
class | AsymptoticCalculator |
Hypothesis Test Calculator based on the asymptotic formulae for the profile likelihood ratio. More... | |
class | BayesianCalculator |
BayesianCalculator is a concrete implementation of IntervalCalculator, providing the computation of a credible interval using a Bayesian method. More... | |
class | BernsteinCorrection |
BernsteinCorrection is a utility in RooStats to augment a nominal PDF with a polynomial correction term. More... | |
class | BranchStore |
class | CombinedCalculator |
CombinedCalculator is an interface class for a tools which can produce both RooStats HypoTestResults and ConfIntervals. More... | |
class | ConfidenceBelt |
ConfidenceBelt is a concrete implementation of the ConfInterval interface. More... | |
class | ConfInterval |
ConfInterval is an interface class for a generic interval in the RooStats framework. More... | |
class | DebuggingSampler |
class | DebuggingTestStat |
class | DetailedOutputAggregator |
This class is designed to aid in the construction of RooDataSets and RooArgSets, particularly those naturally arising in fitting operations. More... | |
class | FeldmanCousins |
The FeldmanCousins class (like the Feldman-Cousins technique) is essentially a specific configuration of the more general NeymanConstruction. More... | |
class | FrequentistCalculator |
Does a frequentist hypothesis test. More... | |
class | Heaviside |
Represents the Heaviside function. More... | |
class | 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 | HybridCalculator |
Same purpose as HybridCalculatorOriginal, but different implementation. More... | |
class | HybridPlot |
This class provides the plots for the result of a study performed with the HybridCalculatorOriginal class. More... | |
class | HybridResult |
Class encapsulating the result of the HybridCalculatorOriginal. More... | |
class | HypoTestCalculator |
HypoTestCalculator is an interface class for a tools which produce RooStats HypoTestResults. More... | |
class | HypoTestCalculatorGeneric |
Common base class for the Hypothesis Test Calculators. More... | |
class | 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 | HypoTestInverterPlot |
Class to plot a HypoTestInverterResult, the output of the HypoTestInverter calculator. More... | |
class | HypoTestInverterResult |
HypoTestInverterResult class holds the array of hypothesis test results and compute a confidence interval. More... | |
class | HypoTestPlot |
This class provides the plots for the result of a study performed with any of the HypoTestCalculatorGeneric (e.g. More... | |
class | HypoTestResult |
HypoTestResult is a base class for results from hypothesis tests. More... | |
class | IntervalCalculator |
IntervalCalculator is an interface class for a tools which produce RooStats ConfIntervals. More... | |
struct | LikelihoodFunction |
class | LikelihoodInterval |
LikelihoodInterval is a concrete implementation of the RooStats::ConfInterval interface. More... | |
class | LikelihoodIntervalPlot |
This class provides simple and straightforward utilities to plot a LikelihoodInterval object. More... | |
class | MarkovChain |
Stores the steps in a Markov Chain of points. More... | |
class | MaxLikelihoodEstimateTestStat |
MaxLikelihoodEstimateTestStat: TestStatistic that returns maximum likelihood estimate of a specified parameter. More... | |
class | 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 | MCMCInterval |
MCMCInterval is a concrete implementation of the RooStats::ConfInterval interface. More... | |
class | MCMCIntervalPlot |
This class provides simple and straightforward utilities to plot a MCMCInterval object. More... | |
class | MetropolisHastings |
This class uses the Metropolis-Hastings algorithm to construct a Markov Chain of data points using Monte Carlo. More... | |
class | 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 | 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 | NeymanConstruction |
NeymanConstruction is a concrete implementation of the NeymanConstruction interface that, as the name suggests, performs a NeymanConstruction. More... | |
class | NuisanceParametersSampler |
Helper class for ToyMCSampler. More... | |
class | NumberCountingPdfFactory |
A factory for building PDFs and data for a number counting combination. More... | |
class | NumEventsTestStat |
NumEventsTestStat is a simple implementation of the TestStatistic interface used for simple number counting. More... | |
class | PdfProposal |
PdfProposal is a concrete implementation of the ProposalFunction interface. More... | |
class | PointSetInterval |
PointSetInterval is a concrete implementation of the ConfInterval interface. More... | |
class | PosteriorCdfFunction |
class | PosteriorFunction |
class | PosteriorFunctionFromToyMC |
Posterior function obtaining sampling toy MC for the nuisance according to their pdf. More... | |
class | ProfileInspector |
Utility class to plot conditional MLE of nuisance parameters vs. More... | |
class | 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 | 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 | ProofConfig |
Holds configuration options for proof and proof-lite. More... | |
class | ProposalFunction |
ProposalFunction is an interface for all proposal functions that would be used with a Markov Chain Monte Carlo algorithm. More... | |
class | ProposalHelper |
class | RatioOfProfiledLikelihoodsTestStat |
TestStatistic that returns the ratio of profiled likelihoods. More... | |
struct | RooStatsConfig |
class | SamplingDistPlot |
This class provides simple and straightforward utilities to plot SamplingDistribution objects. More... | |
class | SamplingDistribution |
This class simply holds a sampling distribution of some test statistic. More... | |
class | SamplingSummary |
class | SamplingSummaryLookup |
class | SequentialProposal |
Class implementing a proposal function that samples the parameter space by moving only in one coordinate (chosen randomly) at each step. More... | |
class | SimpleInterval |
SimpleInterval is a concrete implementation of the ConfInterval interface. More... | |
class | SimpleLikelihoodRatioTestStat |
TestStatistic class that returns -log(L[null] / L[alt]) where L is the likelihood. More... | |
class | SPlot |
A class to calculate "sWeights" used to create an "sPlot". More... | |
class | TestStatistic |
TestStatistic is an interface class to provide a facility for construction test statistics distributions to the NeymanConstruction class. More... | |
class | TestStatSampler |
TestStatSampler is an interface class for a tools which produce RooStats SamplingDistributions. More... | |
class | ToyMCImportanceSampler |
ToyMCImportanceSampler is an extension of the ToyMCSampler for Importance Sampling. More... | |
class | ToyMCPayload |
class | ToyMCSampler |
ToyMCSampler is an implementation of the TestStatSampler interface. More... | |
class | ToyMCStudy |
ToyMCStudy is an implementation of RooAbsStudy for toy Monte Carlo sampling. More... | |
class | UniformProposal |
UniformProposal is a concrete implementation of the ProposalFunction interface for use with a Markov Chain Monte Carlo algorithm. More... | |
class | UpperLimitMCSModule |
This class allow to compute in the ToyMcStudy framework the ProfileLikelihood upper limit for each toy-MC sample generated. More... | |
Enumerations | |
enum | toysStrategies { EQUALTOYSPERDENSITY , EXPONENTIALTOYDISTRIBUTION } |
Functions | |
double | AsimovSignificance (double s, double b, double sigma_b=0.0) |
Compute the Asimov Median significance for a Poisson process with s = expected number of signal events, b = expected number of background events and optionally sigma_b = expected uncertainty of background events. | |
BranchStore * | CreateBranchStore (const RooDataSet &data) |
void | FactorizePdf (const RooArgSet &observables, RooAbsPdf &pdf, RooArgList &obsTerms, RooArgList &constraints) |
void | FactorizePdf (RooStats::ModelConfig &model, RooAbsPdf &pdf, RooArgList &obsTerms, RooArgList &constraints) |
void | FillTree (TTree &myTree, const RooDataSet &data) |
TTree * | GetAsTTree (TString name, TString desc, const RooDataSet &data) |
Create a TTree with the given name and description. All RooRealVars in the RooDataSet are represented as branches that contain values of type double. | |
RooStatsConfig & | GetGlobalRooStatsConfig () |
Retrieve the config object which can be used to set flags for things like offsetting the likelihood or using the error wall for the minimiser. | |
bool | IsNLLOffset () |
function returning if the flag to check if the flag to use NLLOffset is set | |
RooAbsPdf * | MakeNuisancePdf (const RooStats::ModelConfig &model, const char *name) |
RooAbsPdf * | MakeNuisancePdf (RooAbsPdf &pdf, const RooArgSet &observables, const char *name) |
extract constraint terms from pdf | |
RooWorkspace * | MakeReducedWorkspace (RooWorkspace *oldWS, const char *newName, bool copySnapshots, const char *mcname, const char *newmcname, bool copyData=true) |
function that clones a workspace, copying all needed components and discarding all others | |
RooAbsPdf * | MakeUnconstrainedPdf (const RooStats::ModelConfig &model, const char *name=nullptr) |
RooAbsPdf * | MakeUnconstrainedPdf (RooAbsPdf &pdf, const RooArgSet &observables, const char *name=nullptr) |
remove constraints from pdf and return the unconstrained pdf | |
void | PrintListContent (const RooArgList &l, std::ostream &os=std::cout) |
useful function to print in one line the content of a set with their values | |
double | PValueToSignificance (double pvalue) |
returns one-sided significance corresponding to a p-value | |
void | RandomizeCollection (RooAbsCollection &set, bool randomizeConstants=true) |
assuming all values in set are RooRealVars, randomize their values | |
void | RemoveConstantParameters (RooArgList &set) |
void | RemoveConstantParameters (RooArgSet *set) |
bool | SetAllConstant (const RooAbsCollection &coll, bool constant=true) |
utility function to set all variable constant in a collection (from G. | |
void | SetParameters (const RooArgSet *desiredVals, RooArgSet *paramsToChange) |
double | SignificanceToPValue (double Z) |
returns p-value corresponding to a 1-sided significance | |
RooAbsPdf * | StripConstraints (RooAbsPdf &pdf, const RooArgSet &observables) |
void | UseNLLOffset (bool on) |
function to set a global flag in RooStats to use NLL offset when performing nll computations Note that not all ROoStats tools implement this capabilities | |
Variables | |
const ROOT::Math::RootFinder::EType | kRootFinderType = ROOT::Math::RootFinder::kBRENT |
Namespace for the RooStats classes.
All the classes of the RooStats package are in the RooStats namespace. In addition the namespace contain a set of utility functions.
Enumerator | |
---|---|
EQUALTOYSPERDENSITY | |
EXPONENTIALTOYDISTRIBUTION |
Definition at line 20 of file ToyMCImportanceSampler.h.
Compute the Asimov Median significance for a Poisson process with s = expected number of signal events, b = expected number of background events and optionally sigma_b = expected uncertainty of background events.
Definition at line 59 of file RooStatsUtils.cxx.
BranchStore * RooStats::CreateBranchStore | ( | const RooDataSet & | data | ) |
Definition at line 277 of file RooStatsUtils.cxx.
void RooStats::FactorizePdf | ( | const RooArgSet & | observables, |
RooAbsPdf & | pdf, | ||
RooArgList & | obsTerms, | ||
RooArgList & | constraints | ||
) |
Definition at line 91 of file RooStatsUtils.cxx.
void RooStats::FactorizePdf | ( | RooStats::ModelConfig & | model, |
RooAbsPdf & | pdf, | ||
RooArgList & | obsTerms, | ||
RooArgList & | constraints | ||
) |
Definition at line 124 of file RooStatsUtils.cxx.
void RooStats::FillTree | ( | TTree & | myTree, |
const RooDataSet & | data | ||
) |
Definition at line 297 of file RooStatsUtils.cxx.
TTree * RooStats::GetAsTTree | ( | TString | name, |
TString | desc, | ||
const RooDataSet & | data | ||
) |
Create a TTree with the given name and description. All RooRealVars in the RooDataSet are represented as branches that contain values of type double.
Definition at line 321 of file RooStatsUtils.cxx.
RooStatsConfig & RooStats::GetGlobalRooStatsConfig | ( | ) |
Retrieve the config object which can be used to set flags for things like offsetting the likelihood or using the error wall for the minimiser.
Definition at line 54 of file RooStatsUtils.cxx.
bool RooStats::IsNLLOffset | ( | ) |
function returning if the flag to check if the flag to use NLLOffset is set
Test of RooStats should by default offset NLL calculations.
Definition at line 87 of file RooStatsUtils.cxx.
RooAbsPdf * RooStats::MakeNuisancePdf | ( | const RooStats::ModelConfig & | model, |
const char * | name | ||
) |
Definition at line 147 of file RooStatsUtils.cxx.
RooAbsPdf * RooStats::MakeNuisancePdf | ( | RooAbsPdf & | pdf, |
const RooArgSet & | observables, | ||
const char * | name | ||
) |
extract constraint terms from pdf
Definition at line 135 of file RooStatsUtils.cxx.
RooWorkspace * RooStats::MakeReducedWorkspace | ( | RooWorkspace * | oldWS, |
const char * | newName, | ||
bool | copySnapshots, | ||
const char * | mcname, | ||
const char * | newmcname, | ||
bool | copyData = true |
||
) |
function that clones a workspace, copying all needed components and discarding all others
Definition at line 347 of file RooStatsUtils.cxx.
RooAbsPdf * RooStats::MakeUnconstrainedPdf | ( | const RooStats::ModelConfig & | model, |
const char * | name = nullptr |
||
) |
Definition at line 231 of file RooStatsUtils.cxx.
RooAbsPdf * RooStats::MakeUnconstrainedPdf | ( | RooAbsPdf & | pdf, |
const RooArgSet & | observables, | ||
const char * | name = nullptr |
||
) |
remove constraints from pdf and return the unconstrained pdf
Definition at line 220 of file RooStatsUtils.cxx.
void RooStats::PrintListContent | ( | const RooArgList & | l, |
std::ostream & | os = std::cout |
||
) |
useful function to print in one line the content of a set with their values
Definition at line 329 of file RooStatsUtils.cxx.
returns one-sided significance corresponding to a p-value
Definition at line 49 of file RooStatsUtils.h.
|
inline |
assuming all values in set are RooRealVars, randomize their values
Definition at line 98 of file RooStatsUtils.h.
|
inline |
Definition at line 75 of file RooStatsUtils.h.
|
inline |
Definition at line 67 of file RooStatsUtils.h.
|
inline |
utility function to set all variable constant in a collection (from G.
Petrucciani)
Definition at line 85 of file RooStatsUtils.h.
Definition at line 63 of file RooStatsUtils.h.
returns p-value corresponding to a 1-sided significance
Definition at line 54 of file RooStatsUtils.h.
Definition at line 156 of file RooStatsUtils.cxx.
void RooStats::UseNLLOffset | ( | bool | on | ) |
function to set a global flag in RooStats to use NLL offset when performing nll computations Note that not all ROoStats tools implement this capabilities
Use an offset in NLL calculations.
Definition at line 82 of file RooStatsUtils.cxx.
const ROOT::Math::RootFinder::EType RooStats::kRootFinderType = ROOT::Math::RootFinder::kBRENT |
Definition at line 100 of file BayesianCalculator.cxx.