IOSKJ::Data Class Reference

#include <data.hpp>

Inheritance diagram for IOSKJ::Data:

Public Types
typedef Variable< FournierRobustifiedMultivariateNormal >	SizeFreqVariable

Public Member Functions
template<class Mirror >
void	reflect (Mirror &mirror)
void	read (void)
void	write (void)
void	get (uint time, const Model &model)
double	loglike (void)

Public Attributes
Array< Variable< Lognormal >, DataYear, Quarter >	m_pl_cpue
Array< Variable< Lognormal >, DataYear >	w_ps_cpue
Array< Variable< Normal >, DataYear, Quarter, ZSize >	z_ests
Array< SizeFreqVariable, DataYear, Quarter, Region, Method, Size >	size_freqs
double	exp_rate_high
double	m_pl_cpue_ll
double	w_ps_cpue_ll
double	z_ests_ll
double	size_freqs_ll
double	exp_rate_high_ll

Detailed Description

Data against which the model is conditioned

See the get() method which "gets" model variables corresponding to data at specific times.

Member Typedef Documentation

typedef Variable<FournierRobustifiedMultivariateNormal> IOSKJ::Data::SizeFreqVariable

Size frequencies

Member Function Documentation

void IOSKJ::Data::get ( uint  time, const Model &  model  )

inline

Get model variables corresponding to data at a particular time

For each data set, predictions are generated outside of the range of observed data. This is for diagnosis and future proofing (when more observed data become available and are added to data files the model will already be set up to fit that it). There will be a small computational cost to this.

template<class Mirror >

void IOSKJ::Data::reflect ( Mirror &  mirror )

inline

Reflection

Member Data Documentation

double IOSKJ::Data::exp_rate_high

Count of years in which estimated Z>0.9

Array<Variable<Lognormal>,DataYear,Quarter> IOSKJ::Data::m_pl_cpue

Maldive pole and line quarterly CPUE

double IOSKJ::Data::m_pl_cpue_ll

Log-likelihoods for each data sets

Array<Variable<Lognormal>,DataYear> IOSKJ::Data::w_ps_cpue

West purse seine annual CPUE

Array<Variable<Normal>,DataYear,Quarter,ZSize> IOSKJ::Data::z_ests

Z-estimates

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The documentation for this class was generated from the following file:

• data.hpp