LimitAlgo Class Reference

#include <LimitAlgo.h>

Inheritance diagram for LimitAlgo:

List of all members.

Public Member Functions
virtual void	applyDefaultOptions ()
virtual void	applyOptions (const boost::program_options::variables_map &vm)
	LimitAlgo (const char *desc)
	LimitAlgo ()
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

(

)

[inline, virtual]

Reimplemented in Asymptotic, AsymptoticNew, and HybridNew.

Definition at line 22 of file LimitAlgo.h.

{ }

virtual void LimitAlgo::applyOptions

(

const boost::program_options::variables_map &

vm

)

[inline, virtual]

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

Definition at line 21 of file LimitAlgo.h.

{ }

virtual const std::string& LimitAlgo::name

(

)

const [pure virtual]

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

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

(

)

const [inline]

Definition at line 27 of file LimitAlgo.h.

References options_.

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

Referenced by Combine::mklimit().

virtual void LimitAlgo::setNToys

(

const int

)

[inline, virtual]

Reimplemented in MaxLikelihoodFit.

Definition at line 24 of file LimitAlgo.h.

Referenced by Combine::run().

{ }

virtual void LimitAlgo::setToyNumber

(

const int

)

[inline, virtual]

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(), and ProfileLikelihood::ProfileLikelihood().