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BAT
0.9.4
The Bayesian analysis toolkit
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This is the complete list of members for BCMTF, including all inherited members.
| AddChannel(const char *name) | BCMTF | |
| AddParameter(BCParameter *parameter) | BCModel | virtual |
| AddProcess(const char *name, double nmin=0., double nmax=1., int color=-1, int fillstyle=-1, int linestyle=-1) | BCMTF | |
| AddSystematic(const char *name, double min=-5., double max=5.) | BCMTF | |
| APrioriProbability(const std::vector< double > ¶meters) | BCModel | |
| BCModel(const char *name="model") | BCModel | |
| BCModel(const BCModel &bcmodel) | BCModel | |
| BCMTF() | BCMTF | |
| BCMTF(const char *name) | BCMTF | |
| CalculateCash(int channelindex, const std::vector< double > ¶meters) | BCMTF | |
| CalculateCash(const std::vector< double > ¶meters) | BCMTF | |
| CalculateChi2(int channelindex, const std::vector< double > ¶meters) | BCMTF | |
| CalculateChi2(const std::vector< double > ¶meters) | BCMTF | |
| CalculatePValue(int channelindex, const std::vector< double > ¶meters) | BCMTF | |
| CalculatePValue(const std::vector< double > ¶meters) | BCMTF | |
| CalculatePValue(std::vector< double > par, bool flag_histogram=false) (defined in BCModel) | BCModel | |
| CDF(const std::vector< double > &, int, bool) | BCModel | inlinevirtual |
| Copy(const BCModel &bcmodel) | BCModel | |
| CorrelateDataPointValues(std::vector< double > &x) | BCModel | virtual |
| Efficiency(int channelindex, int processindex, int binindex, const std::vector< double > ¶meters) | BCMTF | |
| Eval(const std::vector< double > ¶meters) | BCModel | |
| Expectation(int channelindex, int binindex, const std::vector< double > ¶meters) | BCMTF | |
| ExpectationFunction(int parindex, int channelindex, int processindex, const std::vector< double > ¶meters) | BCMTF | |
| fChi2NDoF (defined in BCModel) | BCModel | protected |
| fDataFixedValues (defined in BCModel) | BCModel | protected |
| fDataPointLowerBoundaries | BCModel | protected |
| fDataPointUpperBoundaries | BCModel | protected |
| fDataSet | BCModel | protected |
| fGoFNChains | BCModel | protected |
| fGoFNIterationsMax | BCModel | protected |
| fGoFNIterationsRun | BCModel | protected |
| flag_discrete | BCModel | protected |
| fModelAPosteriori | BCModel | protected |
| fModelAPriori | BCModel | protected |
| fName | BCModel | protected |
| fPriorConstantAll | BCModel | protected |
| fPriorContainer | BCModel | protected |
| fPriorContainerConstant | BCModel | protected |
| fPriorContainerInterpolate | BCModel | protected |
| fPValue | BCModel | protected |
| fPValueNDoF (defined in BCModel) | BCModel | protected |
| GetChannel(int index) | BCMTF | inline |
| GetChannelIndex(const char *name) | BCMTF | |
| GetChi2NDoF() (defined in BCModel) | BCModel | inline |
| GetChi2Runs(int dataIndex, int sigmaIndex) | BCModel | |
| GetDataPoint(unsigned int index) const | BCModel | |
| GetDataPointLowerBoundaries() const | BCModel | inline |
| GetDataPointLowerBoundary(unsigned int index) const | BCModel | |
| GetDataPointUpperBoundaries() const | BCModel | inline |
| GetDataPointUpperBoundary(unsigned int index) const | BCModel | |
| GetDataSet() const | BCModel | inline |
| GetFlagBoundaries() const | BCModel | |
| GetModelAPosterioriProbability() const | BCModel | inline |
| GetModelAPrioriProbability() const | BCModel | inline |
| GetName() const | BCModel | inline |
| GetNChannels() | BCMTF | inline |
| GetNDataPoints() const | BCModel | |
| GetNProcesses() | BCMTF | inline |
| GetNSystematics() | BCMTF | inline |
| GetParIndexProcess(int index) | BCMTF | inline |
| GetParIndexSystematic(int index) | BCMTF | inline |
| GetProcess(int index) | BCMTF | inline |
| GetProcessIndex(const char *name) | BCMTF | |
| GetPValue() | BCModel | inline |
| GetPvalueFromChi2(const std::vector< double > &par, int sigma_index) | BCModel | |
| GetPvalueFromChi2NDoF(std::vector< double > par, int sigma_index) (defined in BCModel) | BCModel | |
| GetPvalueFromKolmogorov(const std::vector< double > &par, int index) | BCModel | |
| GetPValueNDoF() (defined in BCModel) | BCModel | inline |
| GetSystematic(int index) | BCMTF | inline |
| GetSystematicIndex(const char *name) | BCMTF | |
| HessianMatrixElement(const BCParameter *parameter1, const BCParameter *parameter2, std::vector< double > point) | BCModel | |
| Likelihood(const std::vector< double > ¶ms) | BCModel | virtual |
| LogAPrioriProbability(const std::vector< double > ¶meters) | BCModel | virtual |
| LogEval(const std::vector< double > ¶meters) | BCModel | virtual |
| LogLikelihood(const std::vector< double > ¶meters) | BCMTF | virtual |
| LogProbability(const std::vector< double > ¶meter) | BCModel | |
| LogProbabilityNN(const std::vector< double > ¶meters) | BCModel | inline |
| MCMCUserIterationInterface() | BCMTF | |
| operator=(const BCModel &bcmodel) | BCModel | |
| PrintHessianMatrix(std::vector< double > parameters) | BCModel | |
| PrintResults(const char *file) | BCModel | |
| PrintShortFitSummary(int chi2flag=0) | BCModel | |
| PrintStack(int channelindex, const std::vector< double > ¶meters, const char *filename="stack.pdf", const char *options="e1b0stack") | BCMTF | |
| PrintStack(const char *channelname, const std::vector< double > ¶meters, const char *filename="stack.pdf", const char *options="e1b0stack") | BCMTF | |
| PrintSummary(const char *filename="summary.txt") | BCMTF | |
| BCModel::PrintSummary() | BCModel | |
| Probability(int channelindex, int processindex, int binindex, const std::vector< double > ¶meters) | BCMTF | |
| BCModel::Probability(const std::vector< double > ¶meter) | BCModel | |
| ProbabilityNN(const std::vector< double > ¶ms) | BCModel | |
| SamplingFunction(const std::vector< double > ¶meters) | BCModel | virtual |
| SetData(const char *channelname, TH1D hist, double minimum=-1, double maximum=-1) | BCMTF | |
| SetDataBoundaries(unsigned int index, double lowerboundary, double upperboundary, bool fixed=false) (defined in BCModel) | BCModel | |
| SetDataPointLowerBoundaries(BCDataPoint *datasetlowerboundaries) | BCModel | inline |
| SetDataPointLowerBoundary(int index, double lowerboundary) | BCModel | |
| SetDataPointUpperBoundaries(BCDataPoint *datasetupperboundaries) | BCModel | inline |
| SetDataPointUpperBoundary(int index, double upperboundary) | BCModel | |
| SetDataSet(BCDataSet *dataset) | BCModel | inline |
| SetExpectationFunction(int parindex, TF1 *func) | BCMTF | inline |
| SetFlagEfficiencyConstraint(bool flag) | BCMTF | inline |
| SetGoFNChains(int n) | BCModel | inline |
| SetGoFNIterationsMax(int n) | BCModel | inline |
| SetGoFNIterationsRun(int n) | BCModel | inline |
| SetModelAPosterioriProbability(double probability) | BCModel | inline |
| SetModelAPrioriProbability(double probability) | BCModel | inline |
| SetName(const char *name) | BCModel | inline |
| SetPrior(int index, TF1 *f) | BCModel | |
| SetPrior(const char *name, TF1 *f) | BCModel | |
| SetPrior(int index, TH1 *h, bool flag=false) | BCModel | |
| SetPrior(const char *name, TH1 *h, bool flag=false) | BCModel | |
| SetPriorConstant(int index) | BCModel | |
| SetPriorConstant(const char *name) | BCModel | inline |
| SetPriorConstantAll() | BCModel | |
| SetPriorDelta(int index, double value) | BCModel | |
| SetPriorDelta(const char *name, double value) | BCModel | |
| SetPriorGauss(int index, double mean, double sigma) | BCModel | |
| SetPriorGauss(const char *name, double mean, double sigma) | BCModel | |
| SetPriorGauss(int index, double mean, double sigmadown, double sigmaup) | BCModel | |
| SetPriorGauss(const char *name, double mean, double sigmadown, double sigmaup) | BCModel | |
| SetSingleDataPoint(BCDataPoint *datapoint) | BCModel | |
| SetSingleDataPoint(BCDataSet *dataset, unsigned int index) (defined in BCModel) | BCModel | |
| SetSystematicVariation(const char *channelname, const char *processname, const char *systematicname, double variation_up, double variation_down) | BCMTF | |
| SetSystematicVariation(const char *channelname, const char *processname, const char *systematicname, TH1D hist_up, TH1D hist_down) | BCMTF | |
| SetSystematicVariation(const char *channelname, const char *processname, const char *systematicname, TH1D hist, TH1D hist_up, TH1D hist_down) | BCMTF | |
| SetTemplate(const char *channelname, const char *processname, TH1D hist, double efficiency=1., double norm=1.) | BCMTF | |
| SetTemplate(const char *channelname, const char *processname, std::vector< TF1 * > *funccont, int nbins, double efficiency=1.) | BCMTF | |
| ~BCModel() | BCModel | virtual |
| ~BCMTF() | BCMTF |