Katzlab dd76ab1d12 Added PTL2 Scripts
These are PTL2 files from Auden 2/9
2023-02-14 11:20:52 -05:00

46 lines
1.5 KiB
C++

#ifndef ___unObservableData___GL
#define ___unObservableData___GL
#include "definitions.h"
#include "tree.h"
#include "stochasticProcess.h"
#include "sequenceContainer.h"
#include "gainLossAlphabet.h"
#include "computePijComponent.h"
/********************************************************************************************
unObservableData
*********************************************************************************************/
class unObservableData{
public:
explicit unObservableData(const sequenceContainer& sc,const stochasticProcess* sp ,const gainLossAlphabet alph, const int minNumOfOnes, const int minNumOfZeros);
unObservableData(const unObservableData& other); //const
virtual ~unObservableData(){};
virtual unObservableData* clone() const {return new unObservableData(*this);}
Vdouble* getpLforMissingDataPerCat();
Vdouble getLforMissingDataPerCat();
MDOUBLE getlogLforMissingData();
int getNumOfUnObservablePatterns();
void setLforMissingData(const tree& _tr, const stochasticProcess* _sp);
//void setLforMissingData(const tree& _tr, const stochasticProcess* _sp);
void setLforMissingData(const tree& _tr, const vector<vector<stochasticProcess*> >& spVVec, const distribution * distGain, const distribution* distLoss);
//MDOUBLE getCorrectedLikelihood(MDOUBLE likePre){return }
protected:
//func
protected:
//members
sequenceContainer _scZero;
Vdouble _LforMissingDataPerCat; // used foreach rate category
MDOUBLE _logLforMissingData;
computePijGam _pi;
};
#endif