class RooAbsMCStudyModule: public TNamed

 Constructor

 Copy constructor

 Store reference to RooMCStudy object that this module relates to and call internal module
 initialization function

 Initializer called immediately after attachment to RooMCStudy object and initialization of module base class

 Method called at the beginning of each RooMCStudy run

 Method called at the end of each RooMCStudy run. If a RooDataSet is returned, it must have a length equal to
 the number of toy experiments performed and will merged with the fitpar dataset of RooMCStudy.

 Method called after resetting of generator parameters to initial values and before call to generator context
 Any modifications to generator parameters will affect next generation operation (only)

 Method called after generation of toy data sample and resetting of fit parameters to initial values and before
 actual fit is performed. Any modifications to fit parameters will apply to next fit operation. Note that setConstant
 flag of fit parameters are not explicitly reset by RooMCStudy, so any changes made to these flags here will persist

 Method called after fit has been performed.

 Interface methods to RooMCStudy objects,
 which are only functional after module has been attached to a RooMCStudy object

 Return generate sample

 Return generator pdf

 Accessor for generator context, generator parameters,	prototype data and projected dependents

 Return initial value of generator model parameters

 Return current value of generator model parameters

 Return generator prototype data provided by user

 Return projected observables

 Accessors for fit observables, fit model, current and initial fit parameters and NLL value

 Returna all observables

 Return fit model

 Return initial value of parameters of fit model

 Return current value of parameters of fit model

 Return pointer to RooRealVar holding minimized -log(L) value

 Accessors for fit options, generator annd MCstudy configuration flags

 Return list of fit options provided by user

 If true extended mode generation is requested

 If true binning of data between generating and fitting is requested

 Return expected number of events from generator model

 If true randomization of prototype data order is requested

 If true verbose message in the generation step is requested