// $Id: generalGammaDistribution.h 3044 2007-12-18 15:54:50Z itaymay $ #ifndef ___GENERAL_GAMMA_DIST #define ___GENERAL_GAMMA_DIST /************************************************************ This distribution can take several forms depending on its free parameters alpha,beta (unalike gammaDist. alpha is not necessarily equal to beta). For an extensive exlpanation of this distribution see http://mathworld.wolfram.com/GammaDistribution.html ************************************************************/ #include "definitions.h" #include "distribution.h" enum quadratureType {QUANTILE, LAGUERRE}; class generalGammaDistribution : public distribution { public: explicit generalGammaDistribution(); explicit generalGammaDistribution(MDOUBLE alpha, MDOUBLE beta, int in_number_of_categories); explicit generalGammaDistribution(const generalGammaDistribution& other); virtual ~generalGammaDistribution() {} virtual distribution* clone() const { return new generalGammaDistribution(*this); } virtual void setGammaParameters(int numOfCategories ,MDOUBLE alpha, MDOUBLE beta); virtual const int categories() const {return _rates.size();} virtual const MDOUBLE rates(const int i) const {return _rates[i]*_globalRate;} virtual const MDOUBLE ratesProb(const int i) const {return _ratesProb[i];} virtual void setGlobalRate(const MDOUBLE x) {_globalRate = x;} virtual MDOUBLE getGlobalRate()const {return _globalRate;} virtual const MDOUBLE getCumulativeProb(const MDOUBLE x) const; virtual void setAlpha(MDOUBLE newAlpha); virtual MDOUBLE getAlpha() const {return _alpha;} virtual void setBeta(MDOUBLE newBeta); virtual MDOUBLE getBeta() const {return _beta;} virtual void change_number_of_categories(int in_number_of_categories); virtual MDOUBLE getBorder(const int i) const {return _bonderi[i];} //return the ith border. Note: _bonderi[0] = 0, _bondery[categories()] = infinite virtual Vdouble getBorders() const {return _bonderi;} virtual Vdouble getRates() const {return _rates;} protected: virtual void fill_mean(); virtual void fill_bonderi(); protected: MDOUBLE _alpha; MDOUBLE _beta; vector _rates; vector _ratesProb; MDOUBLE _globalRate; vector _bonderi; //Note: _bonderi[0] = 0, _bondery[categories()] = infinite }; #endif