LimitAlgo Class Reference

#include <LimitAlgo.h>

Inheritance diagram for LimitAlgo:

Public Member Functions
virtual void	applyDefaultOptions ()
virtual void	applyOptions (const boost::program_options::variables_map &vm)
	LimitAlgo ()
	LimitAlgo (const char *desc)
virtual const std::string &	name () const =0
const boost::program_options::options_description &	options () const
virtual bool	run (RooWorkspace *w, RooStats::ModelConfig *mc_s, RooStats::ModelConfig *mc_b, RooAbsData &data, double &limit, double &limitErr, const double *hint)=0
virtual void	setNToys (const int)
virtual void	setToyNumber (const int)

Protected Attributes
boost::program_options::options_description	options_

Detailed Description

abstract interface for physics objects

Author

Luca Lista (INFN), Giovanni Petrucciani (UCSD)

Definition at line 17 of file LimitAlgo.h.

Constructor & Destructor Documentation

LimitAlgo::LimitAlgo ( )

inline

Definition at line 19 of file LimitAlgo.h.

{ }

LimitAlgo::LimitAlgo ( const char *  desc )

inline

Definition at line 20 of file LimitAlgo.h.

: options_(desc) { }

Member Function Documentation

virtual void LimitAlgo::applyDefaultOptions ( )

inlinevirtual

Reimplemented in HybridNew, Asymptotic, and AsymptoticNew.

Definition at line 22 of file LimitAlgo.h.

{ }

virtual void LimitAlgo::applyOptions ( const boost::program_options::variables_map &  vm )

inlinevirtual

Reimplemented in HybridNew, GenerateOnly, ProfileLikelihood, Asymptotic, GoodnessOfFit, MultiDimFit, MaxLikelihoodFit, ChannelCompatibilityCheck, AsymptoticNew, MarkovChainMC, BayesianToyMC, and FeldmanCousins.

Definition at line 21 of file LimitAlgo.h.

{ }

virtual const std::string& LimitAlgo::name ( ) const

pure virtual

Implemented in HybridNew, Asymptotic, AsymptoticNew, MarkovChainMC, FeldmanCousins, GenerateOnly, ProfileLikelihood, BayesianToyMC, GoodnessOfFit, MultiDimFit, BayesianFlatPrior, ChannelCompatibilityCheck, and MaxLikelihoodFit.

Referenced by BeautifulSoup.Tag::_invert().

const boost::program_options::options_description& LimitAlgo::options ( ) const

inline

Definition at line 27 of file LimitAlgo.h.

References options_.

Referenced by betterConfigParser.BetterConfigParser::__updateDict(), betterConfigParser.BetterConfigParser::checkInput(), DOTExport.DotExport::export(), and DOTExport.DotExport::write_output().

                                                                  {
    return options_;
  }

virtual bool LimitAlgo::run ( RooWorkspace *  w, RooStats::ModelConfig *  mc_s, RooStats::ModelConfig *  mc_b, RooAbsData &  data, double &  limit, double &  limitErr, const double *  hint  )

pure virtual

Implemented in FitterAlgoBase, HybridNew, Asymptotic, AsymptoticNew, MarkovChainMC, GenerateOnly, ProfileLikelihood, GoodnessOfFit, BayesianFlatPrior, BayesianToyMC, and FeldmanCousins.

Referenced by Combine::mklimit().

virtual void LimitAlgo::setNToys ( const int  )

inlinevirtual

Reimplemented in MaxLikelihoodFit.

Definition at line 24 of file LimitAlgo.h.

Referenced by Combine::run().

{ }

virtual void LimitAlgo::setToyNumber ( const int  )

inlinevirtual

Reimplemented in MaxLikelihoodFit.

Definition at line 23 of file LimitAlgo.h.

Referenced by Combine::run().

{ }

Member Data Documentation

boost::program_options::options_description LimitAlgo::options_

protected

Definition at line 31 of file LimitAlgo.h.

Referenced by MarkovChainMC::applyOptions(), Asymptotic::Asymptotic(), AsymptoticNew::AsymptoticNew(), BayesianFlatPrior::BayesianFlatPrior(), BayesianToyMC::BayesianToyMC(), ChannelCompatibilityCheck::ChannelCompatibilityCheck(), FeldmanCousins::FeldmanCousins(), FitterAlgoBase::FitterAlgoBase(), GoodnessOfFit::GoodnessOfFit(), HybridNew::HybridNew(), MarkovChainMC::MarkovChainMC(), MaxLikelihoodFit::MaxLikelihoodFit(), MultiDimFit::MultiDimFit(), options(), valtools.webpage::parseArgs(), and ProfileLikelihood::ProfileLikelihood().