/usr/include/root/RooStats/HybridResult.h is in libroot-roofit-dev 5.34.00-2.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 | // @(#)root/roostats:$Id: HybridResult.h 39391 2011-05-26 09:51:59Z moneta $
/*************************************************************************
* Project: RooStats *
* Package: RooFit/RooStats *
* Authors: *
* Kyle Cranmer, Lorenzo Moneta, Gregory Schott, Wouter Verkerke *
*************************************************************************
* Copyright (C) 1995-2008, Rene Brun and Fons Rademakers. *
* All rights reserved. *
* *
* For the licensing terms see $ROOTSYS/LICENSE. *
* For the list of contributors see $ROOTSYS/README/CREDITS. *
*************************************************************************/
#ifndef ROOSTATS_HybridResult
#define ROOSTATS_HybridResult
#ifndef ROOSTATS_HypoTestResult
#include "RooStats/HypoTestResult.h"
#endif
namespace RooStats {
class HybridPlot;
class HybridResult : public HypoTestResult {
public:
/// Default constructor
explicit HybridResult(const char *name = 0);
/// Constructor for HybridResult
HybridResult(const char *name,
const std::vector<double>& testStat_sb_vals,
const std::vector<double>& testStat_b_vals,
bool sumLargerValues=true);
/// Destructor of HybridResult
virtual ~HybridResult();
void SetDataTestStatistics(double testStat_data_val);
void Add(HybridResult* other);
HybridPlot* GetPlot(const char* name,const char* title, int n_bins);
void PrintMore(const char* options);
/// Get test statistics values for the sb model
std::vector<double> GetTestStat_sb(){return fTestStat_sb;}
/// Get test statistics values for the b model
std::vector<double> GetTestStat_b(){return fTestStat_b;}
/// Get test statistics value for data
double GetTestStat_data(){ return fTestStat_data;}
// Return p-value for null hypothesis
Double_t NullPValue() const;
// Return p-value for alternate hypothesis
Double_t AlternatePValue() const;
/// The error on the "confidence level" of the null hypothesis
Double_t CLbError() const;
/// The error on the "confidence level" of the alternative hypothesis
Double_t CLsplusbError() const;
/// The error on the ratio CLs+b/CLb
Double_t CLsError() const;
private:
std::vector<double> fTestStat_b; // vector of results for B-only toy-MC
std::vector<double> fTestStat_sb; // vector of results for S+B toy-MC
double fTestStat_data; // results (test statistics) evaluated for data
mutable bool fComputationsNulDoneFlag; // flag if the fNullPValue computation have been already done or not (ie need to be refreshed)
mutable bool fComputationsAltDoneFlag; // flag if the fAlternatePValue computation have been already done or not (ie need to be refreshed)
bool fSumLargerValues; // p-value for velues of testStat >= testStat_data (or testStat <= testStat_data)
protected:
ClassDef(HybridResult,1) // Class containing the results of the HybridCalculator
};
}
#endif
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