StatisticalUtils.h

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#pragma once
 
// C++ includes
#include <iostream>
#include <sstream>
#include <iomanip>
#include <vector>
#include <algorithm>
#include <cmath>
 
//MaCh3 includes
#include "Manager/Manager.h"
#include "Samples/HistogramUtils.h"
 
_MaCh3_Safe_Include_Start_ //{
// ROOT includes
#include "TCanvas.h"
#include "TLine.h"
#include "TROOT.h"
#include "TStyle.h"
_MaCh3_Safe_Include_End_ //}
 
 
std::string GetJeffreysScale(const double BayesFactor);
 
std::string GetDunneKaboth(const double BayesFactor);
 
double GetSigmaValue(const int sigma);
 
double GetBIC(const double llh, const int data, const int nPars);
 
double GetNeffective(const int N1, const int N2);
 
void CheckBonferoniCorrectedpValue(const std::vector<std::string>& SampleNameVec,
                                          const std::vector<double>& PValVec,
                                          const double Threshold = 0.05);
 
double GetAndersonDarlingTestStat(const double CumulativeData, const double CumulativeMC, const double CumulativeJoint);
 
int GetNumberOfRuns(const std::vector<int>& GroupClasifier);
 
double GetBetaParameter(const double data, const double mc, const double w2, TestStatistic TestStat);
 
double GetSubOptimality(const std::vector<double>& EigenValues, const int TotalTarameters);
 
void GetArithmetic(TH1D * const hist, double& Mean, double& Error);
 
void GetGaussian(TH1D*& hist, TF1* gauss, double& Mean, double& Error);
 
void GetHPD(TH1D* const hist, double& Mean, double& Error, double& Error_p, double& Error_m, const double coverage = 0.6827);
 
void GetCredibleInterval(const std::unique_ptr<TH1D>& hist, std::unique_ptr<TH1D>& hpost_copy, const double coverage = 0.6827);
 
void GetCredibleIntervalSig(const std::unique_ptr<TH1D>& hist, std::unique_ptr<TH1D>& hpost_copy, const bool CredibleInSigmas, const double coverage = 0.6827);
 
void GetCredibleRegion(std::unique_ptr<TH2D>& hist2D, const double coverage = 0.6827);
 
void GetCredibleRegionSig(std::unique_ptr<TH2D>& hist2D, const bool CredibleInSigmas, const double coverage = 0.6827);
 
double GetIQR(TH1D *Hist);
 
double ComputeKLDivergence(TH2Poly* DataPoly, TH2Poly* PolyMC);
 
double FisherCombinedPValue(const std::vector<double>& pvalues);
 
void ThinningMCMC(const std::string& FilePath, const int ThinningCut);
 
double GetZScore(const double value, const double mean, const double stddev);
 
double GetPValueFromZScore(const double zScore);
 
double GetModeError(TH1D* hpost);
 
void Get2DBayesianpValue(TH2D *Histogram);