BAT
0.9.4
The Bayesian analysis toolkit
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A base class for all fitting classes. More...
#include <BCFitter.h>
Public Member Functions | |
Constructors and destructors | |
BCFitter () | |
BCFitter (const char *name) | |
~BCFitter () | |
Member functions (get) | |
TGraph * | GetErrorBand () |
TH2D * | GetErrorBandXY () const |
TH2D * | GetErrorBandXY_yellow (double level=.68, int nsmooth=0) const |
std::vector< double > | GetErrorBand (double level) const |
TGraph * | GetErrorBandGraph (double level1, double level2) const |
TGraph * | GetFitFunctionGraph (const std::vector< double > ¶meters) |
TGraph * | GetFitFunctionGraph () |
TGraph * | GetFitFunctionGraph (const std::vector< double > ¶meters, double xmin, double xmax, int n=1000) |
void | FixDataAxis (unsigned int index, bool fixed) |
bool | GetFixedDataAxis (unsigned int index) const |
Member functions (set) | |
void | SetFillErrorBand (bool flag=true) |
void | SetErrorBandHisto (TH2D *h) |
void | UnsetFillErrorBand () |
void | SetFitFunctionIndexX (int index) |
void | SetFitFunctionIndexY (int index) |
void | SetFitFunctionIndices (int indexx, int indexy) |
void | SetErrorBandContinuous (bool flag) |
virtual double | FitFunction (const std::vector< double > &, const std::vector< double > &) |
Member functions (miscellaneous methods) | |
int | ReadErrorBandFromFile (const char *file) |
virtual int | Fit ()=0 |
virtual void | DrawFit (const char *options, bool flaglegend=false)=0 |
void | MCMCIterationInterface () |
void | MarginalizePreprocess () |
void | MarginalizePostprocess () |
void | FillErrorBand () |
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BCModel (const char *name="model") | |
BCModel (const BCModel &bcmodel) | |
virtual | ~BCModel () |
BCModel & | operator= (const BCModel &bcmodel) |
const std::string & | GetName () const |
double | GetModelAPrioriProbability () const |
double | GetModelAPosterioriProbability () const |
BCDataSet * | GetDataSet () const |
BCDataPoint * | GetDataPointLowerBoundaries () const |
BCDataPoint * | GetDataPointUpperBoundaries () const |
double | GetDataPointLowerBoundary (unsigned int index) const |
double | GetDataPointUpperBoundary (unsigned int index) const |
bool | GetFlagBoundaries () const |
unsigned | GetNDataPoints () const |
BCDataPoint * | GetDataPoint (unsigned int index) const |
void | SetName (const char *name) |
void | SetModelAPrioriProbability (double probability) |
void | SetModelAPosterioriProbability (double probability) |
virtual int | AddParameter (BCParameter *parameter) |
void | SetDataSet (BCDataSet *dataset) |
void | SetSingleDataPoint (BCDataPoint *datapoint) |
void | SetSingleDataPoint (BCDataSet *dataset, unsigned int index) |
void | SetDataBoundaries (unsigned int index, double lowerboundary, double upperboundary, bool fixed=false) |
void | SetDataPointLowerBoundaries (BCDataPoint *datasetlowerboundaries) |
void | SetDataPointUpperBoundaries (BCDataPoint *datasetupperboundaries) |
void | SetDataPointLowerBoundary (int index, double lowerboundary) |
void | SetDataPointUpperBoundary (int index, double upperboundary) |
int | SetPrior (int index, TF1 *f) |
int | SetPrior (const char *name, TF1 *f) |
int | SetPriorDelta (int index, double value) |
int | SetPriorDelta (const char *name, double value) |
int | SetPriorGauss (int index, double mean, double sigma) |
int | SetPriorGauss (const char *name, double mean, double sigma) |
int | SetPriorGauss (int index, double mean, double sigmadown, double sigmaup) |
int | SetPriorGauss (const char *name, double mean, double sigmadown, double sigmaup) |
int | SetPrior (int index, TH1 *h, bool flag=false) |
int | SetPrior (const char *name, TH1 *h, bool flag=false) |
int | SetPriorConstant (int index) |
int | SetPriorConstant (const char *name) |
int | SetPriorConstantAll () |
void | Copy (const BCModel &bcmodel) |
double | APrioriProbability (const std::vector< double > ¶meters) |
virtual double | LogAPrioriProbability (const std::vector< double > ¶meters) |
virtual double | Likelihood (const std::vector< double > ¶ms) |
virtual double | LogLikelihood (const std::vector< double > ¶ms)=0 |
double | ProbabilityNN (const std::vector< double > ¶ms) |
double | LogProbabilityNN (const std::vector< double > ¶meters) |
double | Probability (const std::vector< double > ¶meter) |
double | LogProbability (const std::vector< double > ¶meter) |
virtual double | SamplingFunction (const std::vector< double > ¶meters) |
double | Eval (const std::vector< double > ¶meters) |
virtual double | LogEval (const std::vector< double > ¶meters) |
virtual void | CorrelateDataPointValues (std::vector< double > &x) |
double | GetPvalueFromChi2 (const std::vector< double > &par, int sigma_index) |
double | GetPvalueFromKolmogorov (const std::vector< double > &par, int index) |
double | GetPvalueFromChi2NDoF (std::vector< double > par, int sigma_index) |
BCH1D * | CalculatePValue (std::vector< double > par, bool flag_histogram=false) |
double | GetPValue () |
double | GetPValueNDoF () |
double | GetChi2NDoF () |
std::vector< double > | GetChi2Runs (int dataIndex, int sigmaIndex) |
void | SetGoFNIterationsMax (int n) |
void | SetGoFNIterationsRun (int n) |
void | SetGoFNChains (int n) |
double | HessianMatrixElement (const BCParameter *parameter1, const BCParameter *parameter2, std::vector< double > point) |
void | PrintSummary () |
void | PrintResults (const char *file) |
void | PrintShortFitSummary (int chi2flag=0) |
void | PrintHessianMatrix (std::vector< double > parameters) |
virtual double | CDF (const std::vector< double > &, int, bool) |
Protected Attributes | |
TH2D * | fErrorBandXY |
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std::string | fName |
double | fModelAPriori |
double | fModelAPosteriori |
BCDataSet * | fDataSet |
BCDataPoint * | fDataPointLowerBoundaries |
BCDataPoint * | fDataPointUpperBoundaries |
std::vector< bool > | fDataFixedValues |
double | fPValue |
double | fChi2NDoF |
double | fPValueNDoF |
bool | flag_discrete |
int | fGoFNIterationsMax |
int | fGoFNIterationsRun |
int | fGoFNChains |
std::vector< TNamed * > | fPriorContainer |
bool | fPriorConstantAll |
std::vector< bool > | fPriorContainerConstant |
std::vector< bool > | fPriorContainerInterpolate |
A base class for all fitting classes.
Definition at line 27 of file BCFitter.h.
BCFitter::BCFitter | ( | ) |
The default constructor.
Definition at line 25 of file BCFitter.cxx.
BCFitter::BCFitter | ( | const char * | name | ) |
BCFitter::~BCFitter | ( | ) |
The default destructor.
Definition at line 53 of file BCFitter.cxx.
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pure virtual |
Draw the fit in the current pad.
Implemented in BCEfficiencyFitter, BCHistogramFitter, and BCGraphFitter.
void BCFitter::FillErrorBand | ( | ) |
Fill error band histogram for curreent iteration. This method is called from MCMCIterationInterface()
Definition at line 102 of file BCFitter.cxx.
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pure virtual |
Performs the fit.
Implemented in BCEfficiencyFitter, BCHistogramFitter, and BCGraphFitter.
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inlinevirtual |
Defines a fit function.
parameters | A set of parameter values |
x | A vector of x-values |
Reimplemented in BCEfficiencyFitter, BCHistogramFitter, and BCGraphFitter.
Definition at line 135 of file BCFitter.h.
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inline |
Definition at line 54 of file BCFitter.h.
std::vector< double > BCFitter::GetErrorBand | ( | double | level | ) | const |
Returns a vector of y-values at a certain probability level.
level | The level of probability |
Definition at line 159 of file BCFitter.cxx.
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inline |
const BCParameter * GetParameter(const char * name);
Definition at line 60 of file BCFitter.h.
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inline |
Overloaded from BCIntegrate.
Definition at line 165 of file BCFitter.h.
void BCFitter::MarginalizePreprocess | ( | ) |
Overloaded from BCIntegrate.
Definition at line 69 of file BCFitter.cxx.
void BCFitter::MCMCIterationInterface | ( | ) |
Overloaded from BCEngineMCMC
Definition at line 58 of file BCFitter.cxx.
int BCFitter::ReadErrorBandFromFile | ( | const char * | file | ) |
Read
Definition at line 297 of file BCFitter.cxx.
void BCFitter::SetErrorBandContinuous | ( | bool | flag | ) |
Sets the error band flag to continuous function
Definition at line 352 of file BCFitter.cxx.
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inline |
Sets errorband histogram
Definition at line 97 of file BCFitter.h.
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inline |
Turn on or off the filling of the error band during the MCMC run.
flag | set to true for turning on the filling |
Definition at line 92 of file BCFitter.h.
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inline |
Sets index of the x values in function fits.
index | Index of the x values |
Definition at line 109 of file BCFitter.h.
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inline |
Sets index of the y values in function fits.
index | Index of the y values |
Definition at line 115 of file BCFitter.h.
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inline |
Sets indices of the x and y values in function fits.
indexx | Index of the x values |
indexy | Index of the y values |
Definition at line 122 of file BCFitter.h.
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inline |
Turn off filling of the error band during the MCMC run. This method is equivalent to SetFillErrorBand(false)
Definition at line 103 of file BCFitter.h.
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protected |
The error band histogram
Definition at line 206 of file BCFitter.h.