class RooStats::ToyMCSampler: public RooStats::TestStatSampler

 Proof constructor. Do not use.

 only checks, no guessing/determination (do this in calculators,
 e.g. using ModelConfig::GuessObsAndNuisance(...))

 Evaluate all test statistics, returning result and any detailed output.
 PDF parameter values are saved in case they are modified by
 TestStatistic::Evaluate (eg. SimpleLikelihoodRatioTestStat).

 Use for serial and parallel runs.

 This is the main function for serial runs. It is called automatically
 from inside GetSamplingDistribution when no ProofConfig is given.
 You should not call this function yourself. This function should
 be used by ToyMCStudy on the workers (ie. when you explicitly want
 a serial run although ProofConfig is present).

 This method generates a toy data set for the given parameter point taking
 global observables into account.
 The values of the generated global observables remain in the pdf's variables.
 They have to have those values for the subsequent evaluation of the
 test statistics.

 This is the generate function to use in the context of the ToyMCSampler
 instead of the standard RooAbsPdf::generate(...).
 It takes into account whether the number of events is given explicitly
 or whether it should use the expected number of events. It also takes
 into account the option to generate a binned data set (ie RooDataHist).

 clear the cache obtained from the pdf used for speeding the toy and global observables generation
 needs to be called every time the model pdf (fPdf) changes

 The pdf can be NULL in which case the density from SetPdf()
 is used. The snapshot and TestStatistic is also optional.

 generates toy data
   without weight

   with weight

 Main interface to evaluate the test statistic on a dataset

 Forces n events even for extended PDFs. Set NEvents=0 to
 use the Poisson distributed events from the extended PDF.

 Set the Pdf, add to the the workspace if not already there

 How to randomize the prior. Set to NULL to deactivate randomization.

 specify the nuisance parameters (eg. the rest of the parameters)

 specify the observables in the dataset (needed to evaluate the test statistic)

 specify the conditional observables

 set the size of the test (rate of Type I error) ( Eg. 0.05 for a 95% Confidence Interval)

 set the confidence level for the interval (eg. 0.95 for a 95% Confidence Interval)

 Set the TestStatistic (want the argument to be a function of the data & parameter points

 control to use bin data generation (=> see RooFit::AllBinned() option)

 name of the tag for individual components to be generated binned (=> see RooFit::GenBinned() option)

 set auto binned generation (=> see RooFit::AutoBinned() option)

 Set the name of the sampling distribution used for plotting

 This option forces a maximum number of total toys.

 calling with argument or NULL deactivates proof