11#ifndef ROOSTATS_AsymptoticCalculator
12#define ROOSTATS_AsymptoticCalculator
34 bool nominalAsimov =
false
55 static double GetExpectedPValues(
double pnull,
double palt,
double nsigma,
bool usecls,
bool oneSided =
true );
114 &binVolume,
int &ibin);
#define ClassDefOverride(name, id)
Option_t Option_t TPoint TPoint const char GetTextMagnitude GetFillStyle GetLineColor GetLineWidth GetMarkerStyle GetTextAlign GetTextColor GetTextSize void data
Option_t Option_t TPoint TPoint const char GetTextMagnitude GetFillStyle GetLineColor GetLineWidth GetMarkerStyle GetTextAlign GetTextColor GetTextSize void char Point_t Rectangle_t WindowAttributes_t index
Option_t Option_t TPoint TPoint const char GetTextMagnitude GetFillStyle GetLineColor GetLineWidth GetMarkerStyle GetTextAlign GetTextColor GetTextSize void on
RooAbsArg * first() const
Abstract base class for binned and unbinned datasets.
Abstract interface for all probability density functions.
RooArgList is a container object that can hold multiple RooAbsArg objects.
RooArgSet is a container object that can hold multiple RooAbsArg objects.
Object to represent discrete states.
Efficient implementation of a product of PDFs of the form.
RooRealVar represents a variable that can be changed from the outside.
Hypothesis Test Calculator based on the asymptotic formulae for the profile likelihood ratio.
const RooRealVar * GetMuHat() const
return best fit parameter (firs of poi)
static double GetExpectedPValues(double pnull, double palt, double nsigma, bool usecls, bool oneSided=true)
function given the null and the alt p value - return the expected one given the N - sigma value
void SetAlternateModel(const ModelConfig &altModel) override
Set the model for the alternate hypothesis.
static double EvaluateNLL(RooStats::ModelConfig const &modelConfig, RooAbsData &data, const RooArgSet *poiSet=nullptr)
static int fgPrintLevel
control print level (0 minimal, 1 normal, 2 debug)
void SetOneSidedDiscovery(bool on)
set the test statistics for one-sided discovery
static bool SetObsToExpected(RooAbsPdf &pdf, const RooArgSet &obs)
set observed value to the expected one works for Gaussian, Poisson or LogNormal assumes mean paramete...
void SetData(RooAbsData &data) override
Set the DataSet.
static void SetPrintLevel(int level)
set print level (static function)
RooArgSet fAsimovGlobObs
snapshot of Asimov global observables
static RooAbsData * GenerateAsimovData(const RooAbsPdf &pdf, const RooArgSet &observables)
generate the asimov data for the observables (not the global ones) need to deal with the case of a si...
int fUseQTilde
flag to indicate if using qtilde or not (-1 (default based on RooRealVar)), 0 false,...
static RooAbsData * GenerateAsimovDataSinglePdf(const RooAbsPdf &pdf, const RooArgSet &obs, const RooRealVar &weightVar, RooCategory *channelCat=nullptr)
Compute the asimov data set for an observable of a pdf.
bool fIsInitialized
! flag to check if calculator is initialized
bool IsOneSidedDiscovery() const
const RooArgSet & GetBestFitParams() const
return best fit value for all parameters
HypoTestResult * GetHypoTest() const override
re-implement HypoTest computation using the asymptotic
bool fOneSided
for one sided PL test statistic (upper limits)
RooArgSet fBestFitParams
snapshot of all best fitted Parameter values
static RooAbsData * GenerateCountingAsimovData(RooAbsPdf &pdf, const RooArgSet &obs, const RooRealVar &weightVar, RooCategory *channelCat=nullptr)
Generate counting Asimov data for the case when the pdf cannot be extended.
void SetTwoSided()
set the test statistics for two sided (in case of upper limits for discovery does not make really sen...
bool fOneSidedDiscovery
for one sided PL test statistic (for discovery)
RooAbsData * fAsimovData
asimov data set
RooArgSet fBestFitPoi
snapshot of best fitted POI values
void SetQTilde(bool on)
set using of qtilde, by default is controlled if RoORealVar is limited or not
static RooAbsData * MakeAsimovData(RooAbsData &data, const ModelConfig &model, const RooArgSet &poiValues, RooArgSet &globObs, const RooArgSet *genPoiValues=nullptr)
Make Asimov data.
const RooArgSet & GetBestFitPoi() const
return snapshot of the best fit parameter
static void FillBins(const RooAbsPdf &pdf, const RooArgList &obs, RooAbsData &data, int &index, double &binVolume, int &ibin)
fill bins by looping recursively on observables
void SetNullModel(const ModelConfig &nullModel) override
re-implementation of setters since they are needed to re-initialize the calculator
bool fNominalAsimov
make Asimov at nominal parameter values
void SetOneSided(bool on)
set test statistic for one sided (upper limits)
bool Initialize() const
initialize the calculator by performing a global fit and make the Asimov data set
Common base class for the Hypothesis Test Calculators.
void SetNullModel(const ModelConfig &nullModel) override
set the model for the null hypothesis (only B)
void SetData(RooAbsData &data) override
Set the DataSet.
void SetAlternateModel(const ModelConfig &altModel) override
Set the model for the alternate hypothesis (S+B)
HypoTestResult is a base class for results from hypothesis tests.
ModelConfig is a simple class that holds configuration information specifying how a model should be u...
Namespace for the RooStats classes.