class RooStats::BayesianCalculator: public RooStats::IntervalCalculator, public TNamed

 default constructor

TNamed( TString(name), TString(title) ),
 constructor

 constructor from Model Config

 destructor

 clear cached pdf objects

 set the model

 build and return the posterior function (not normalized) as a RooAbsReal
 the posterior is obtained from the product of the likelihood function and the
 prior pdf which is then intergated in the nuisance parameters (if existing).
 A prior function for the nuisance can be specified either in the prior pdf object
 or in the model itself. If no prior nuisance is specified, but prior parameters are then
 the integration is performed assuming a flat prior for the nuisance parameters.

 build and return the posterior pdf (i.e posterior function normalized to all range of poi
NOTE: user must delete the returned object

 return a RooPlot with the posterior  and the credibility region

 returns a SimpleInterval with lower and upper bounds on the
 parameter of interest specified in the constructor.
 Using the method (to be called before SetInterval) SetLeftSideTailFraction the user can choose the type of interval.
 By default the returned interval is a central interval with the confidence level specified
 previously in the constructor ( LeftSideTailFraction = 0.5).
  For lower limit use SetLeftSideTailFraction = 1
  For upper limit use SetLeftSideTailFraction = 0
  for shortest intervals use SetLeftSideTailFraction = -1 or call the method SetShortestInterval()
 NOTE: The BayesianCaluclator covers only the case with one
 single parameter of interest

 Returns the value of the parameter for the point in
 parameter-space that is the most likely.
  How do we do if there are points that are equi-probable?
 use approximate posterior
 t.b.d use real function to find the mode

 compute the interval using RooFit

 compute the interval using Cdf integration

 approximate posterior in nbins using a TF1 and
 scan the values

 compute the interval using the approximate posterior function

 compute the shortest interval

 constructor

 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)

 Get the size of the test (eg. rate of Type I error)

 Get the Confidence level for the test

 set the fraction of probability content on the left tail
 Central limits use 0.5 (default case)
 for upper limits it is 0 and 1 for lower limit
 For shortest intervals a negative value (i.e. -1) must be given

 set the Bayesian calculator to compute the shorest interval (default is central interval)
 to switch off SetLeftSideTailFraction to the rght value

 set the precision of the Root Finder

 use directly the approximate posterior function obtained by binning it in nbins
 by default the cdf is used by integrating the posterior
 if a value of nbin <= 0 the cdf function will be used