Inheritance diagram for target::TargetBinary< T >:

Collaboration diagram for target::TargetBinary< T >:

Public Member Functions
virtual arma::Mat< T >	pa ()
	Calculate risk probabilities conditional on exposure. More...

virtual arma::Mat< T >	p (bool exposure=0)

virtual arma::Col< T >	loglik (bool indiv=false)
	log likelihood More...

virtual arma::Mat< T >	score (bool indiv=false)
	score function More...

virtual arma::Mat< T >	est (arma::Col< T > alpha, const arma::Col< T > &propensity)
	Estimating function for double robust estimator. More...

virtual arma::Mat< T >	est (arma::Col< T > alpha)

void	calculate (bool target=true, bool nuisance=true, bool propensity=false) override

Public Member Functions inherited from target::Target< T >
	Target ()
	Constructor.

	Target (const arma::Col< T > &y, const arma::Mat< T > &a, const arma::Mat< T > &x1, const arma::Mat< T > &x2, const arma::Mat< T > &x3, const arma::Col< T > &parameter, const arma::Col< T > &weights)
	Target class constructur. More...

	Target (const arma::Col< T > &y, const arma::Mat< T > &a, const arma::Mat< T > &x1, const arma::Mat< T > &x2, const arma::Col< T > &parameter, const arma::Col< T > &weights)

	Target (const arma::Col< T > &y, const arma::Mat< T > &a, const arma::Mat< T > &x1, const arma::Mat< T > &x2, const arma::Mat< T > &x3, const arma::Col< T > &parameter)

	Target (const arma::Col< T > &y, const arma::Mat< T > &a, const arma::Mat< T > &x1, const arma::Mat< T > &x2, const arma::Col< T > &parameter)

void	weights (const arma::Col< T > &weights)

arma::Col< T >	weights ()

arma::Col< T >	A ()

arma::Col< T >	Y ()

arma::Mat< T >	X1 ()

arma::Mat< T >	X2 ()

arma::Mat< T >	X3 ()

void	update_data (const arma::Col< T > &y, const arma::Mat< T > &a, const arma::Mat< T > &x1, const arma::Mat< T > &x2, const arma::Mat< T > &x3)

void	update_par (const arma::Col< T > &parameter)
	update_par - More...

Protected Member Functions
virtual arma::Col< T >	H ()=0

virtual arma::Mat< T >	dp ()=0

Protected Attributes
arma::Mat< T >	pr

Protected Attributes inherited from target::Target< T >
arma::Col< T >	nuisance

arma::Col< T >	target

arma::Col< T >	propensity

arma::Col< T >	_response

arma::Mat< T >	_exposure

arma::Mat< T >	_x1

arma::Mat< T >	_x2

arma::Mat< T >	_x3

arma::Col< T >	_weights

Additional Inherited Members
Public Attributes inherited from target::Target< T >
arma::Col< T >	alpha

arma::Col< T >	beta

arma::Col< T >	gamma

Detailed Description

template<class T>
class target::TargetBinary< T >

Definition at line 87 of file target.hpp.

Member Function Documentation

template<typename T >

arma::Mat< T > target::TargetBinary< T >::est	(	arma::Col< T >	alpha,
		const arma::Col< T > &	propensity
	)

virtual

Estimating function for double robust estimator.

\[ U(\alpha; \widehat{\alpha}, \widehat{\beta}, \widehat{\gamma}) = \omega(V)\Big(A-e(V;\widehat{\gamma})\Big)\left (H(\alpha)-p_{0}(V;\widehat{\alpha},\widehat{\beta})\right) \]

Inital estimates \(\widehat{\alpha},\widehat{\beta}\) obtained from MLE.
Similarly, \(\widehat{\gamma}\) obtained from regular asymptotic linear model (e.g., logistic regression MLE).
Plugin estimates to obtain \(\widehat{\omega}_{\mathrm{eff}}\). Also, note that \(p_0\) is calculated wrt initial MLE.

Parameters

alpha	target parameter
propensity	exposure propensity weights

Returns: arma::Mat<T>

Definition at line 170 of file target.cpp.

template<typename T >

arma::Col< T > target::TargetBinary< T >::loglik ( bool indiv = false )

virtual

log likelihood

Parameters

indiv - if true return individual log likelihood contributions

Returns: vector of type arma::Vec<T>

Definition at line 142 of file target.cpp.

template<typename T >

arma::Mat< T > target::TargetBinary< T >::pa ( )

virtual

Calculate risk probabilities conditional on exposure.

\(p_a(V) = E(Y \mid A=a, V), a\in\{0,1\}\)

Returns: arma::mat

Definition at line 125 of file target.cpp.

template<typename T >

arma::Mat< T > target::TargetBinary< T >::score ( bool indiv = false )

virtual

score function

Parameters

indiv - If true the individual score contributions are returned, otherwise the sum is returned

Returns: arma::Mat

Definition at line 200 of file target.cpp.

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

Public Member Functions

Protected Member Functions

Protected Attributes

Additional Inherited Members

Detailed Description

template<class T> class target::TargetBinary< T >

Member Function Documentation

template<class T>
class target::TargetBinary< T >