1 #ifndef catchdistribution_h
2 #define catchdistribution_h
50 virtual void Print(ofstream& outfile)
const;
78 int numarea,
int numage,
int numlen);
83 double calcLikMultinomial();
89 double calcLikPearson(
const TimeClass*
const TimeInfo);
95 double calcLikGamma(
const TimeClass*
const TimeInfo);
101 double calcLikSumSquares(
const TimeClass*
const TimeInfo);
106 double calcLikMVNormal();
111 double calcLikMVLogistic();
117 double calcLikLog(
const TimeClass*
const TimeInfo);
123 double calcLikStratified(
const TimeClass*
const TimeInfo);
127 void calcCorrelation();
This is the class used to associate actions with specific timesteps within the model.
Definition: actionattimes.h:14
This class implements a dynamic vector of AgeBandMatrix values.
Definition: agebandmatrixptrvector.h:12
This is the class used to store information about the areas used for the current model.
Definition: areatime.h:18
This is the class used to calculate a likelihood score based on distribution data sampled from the st...
Definition: catchdistribution.h:19
virtual void Reset(const Keeper *const keeper)
This function will reset the CatchDistribution likelihood information.
Definition: catchdistribution.cc:346
virtual void printLikelihood(ofstream &outfile, const TimeClass *const TimeInfo)
This function will print information from each CatchDistribution calculation.
Definition: catchdistribution.cc:425
virtual void Print(ofstream &outfile) const
This function will print the summary CatchDistribution likelihood information.
Definition: catchdistribution.cc:387
CatchDistribution(CommentStream &infile, const AreaClass *const Area, const TimeClass *const TimeInfo, Keeper *const keeper, double weight, const char *name)
This is the CatchDistribution constructor.
Definition: catchdistribution.cc:16
virtual void printSummary(ofstream &outfile)
This function will print summary information from each CatchDistribution likelihood calculation.
Definition: catchdistribution.cc:1125
virtual ~CatchDistribution()
This is the default CatchDistribution destructor.
Definition: catchdistribution.cc:320
virtual void addLikelihood(const TimeClass *const TimeInfo)
This function will calculate the likelihood score for the CatchDistribution component.
Definition: catchdistribution.cc:560
void setFleetsAndStocks(FleetPtrVector &Fleets, StockPtrVector &Stocks)
This will select the fleets and stocks required to calculate the CatchDistribution likelihood score.
Definition: catchdistribution.cc:456
This class implements a dynamic vector of char values.
Definition: charptrvector.h:8
This class implements a dynamic vector of DoubleMatrixPtrVector values.
Definition: doublematrixptrmatrix.h:13
This class implements a dynamic vector of DoubleMatrix values.
Definition: doublematrixptrvector.h:10
This class implements a dynamic vector of DoubleVector values.
Definition: doublematrix.h:11
This class implements a dynamic vector of double values.
Definition: doublevector.h:11
This is the class used to aggregate fleet catch information.
Definition: fleetpreyaggregator.h:18
This class implements a dynamic vector of Fleet values.
Definition: fleetptrvector.h:10
This class implements a dynamic vector of IntVector values.
Definition: intmatrix.h:10
This class implements a dynamic vector of int values.
Definition: intvector.h:11
This is the class used to store information about the variables that are used in model simulation.
Definition: keeper.h:17
This is the class used to calculate a LU decomposition of a rectangular matrix to solve the matrix eq...
Definition: ludecomposition.h:10
This is the class used to store information about the length groups of the modelled stock population.
Definition: lengthgroup.h:10
This is the base class used to calculate the likelihood scores used to compare the modelled data in t...
Definition: likelihood.h:24
double weight
This stores the weight to be applied to the likelihood component.
Definition: likelihood.h:112
This is the class that calculates a log likelihood score by comparing 2 vectors based on a multinomia...
Definition: multinomial.h:10
This class implements a dynamic vector of Stock values.
Definition: stockptrvector.h:10
This is the class used to store information about the timesteps used for the current model.
Definition: areatime.h:87