Utilities for OSA residuals. More...

#include <tmb_core.hpp>

Public Member Functions
	data_indicator ()
	Default CTOR.

	data_indicator (VT obs, bool init_one=false)
	Construct from observation vector. More...

void	fill (vector< Type > p, SEXP ord_)
	Fill with parameter vector.

vector< int >	order ()
	Get order in which the one step conditionals will be requested by oneStepPredict.

bool	osa_active ()
	Are we inside a oneStepPredict calculation?

data_indicator	segment (int pos, int n)
	Extract segment of indicator vector or array. More...

Public Attributes
VT	cdf_lower
	Logarithm of lower CDF

VT	cdf_upper
	Logarithm of upper CDF

vector< int >	ord
	Subset argument (zero-based) passed from oneStepPredict. See `data_indicator::order()`.

bool	osa_flag
	Flag to tell if OSA calculation is active. See `data_indicator::osa_active()`.

Detailed Description

Utilities for OSA residuals.

Template Parameters

VT	Can be vector<Type> or array<Type>

Warning: When extracting subsets of a data_indicator note that in general the subset is not applied to cdf_lower and cdf_upper.

Definition at line 441 of file tmb_core.hpp.

Constructor & Destructor Documentation

template<class VT, class Type = typename VT::Scalar>

data_indicator< VT, Type >::data_indicator	(	VT	obs,
		bool	init_one = `false`
	)

inline

Construct from observation vector.

Parameters

obs	Observation vector or array
init_one	If true the data_indicator will be filled with ones signifying that all observations should be enabled.

Definition at line 456 of file tmb_core.hpp.

template<class VT, class Type = typename VT::Scalar>

data_indicator data_indicator< VT, Type >::segment	(	int	pos,
		int	n
	)

inline

Extract segment of indicator vector or array.

Note: For this method the segment is applied to cdf_lower and cdf_upper.

Definition at line 478 of file tmb_core.hpp.

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