laplace_marginal_bernoulli_logit_lpmf()

template<bool propto = false, typename Mean , typename CovarFun , typename CovarArgs >

auto stan::math::laplace_marginal_bernoulli_logit_lpmf ( const std::vector< int > &  y, const std::vector< int > &  n_samples, Mean &&  mean, CovarFun &&  covariance_function, CovarArgs &&  covar_args, std::ostream *  msgs  )

inline

Wrapper function around the laplace_marginal function for a logistic Bernoulli likelihood.

Returns the marginal density p(y | phi) by marginalizing out the latent gaussian variable, with a Laplace approximation. See the laplace_marginal function for more details.

Template Parameters

propto	boolean ignored
Mean	type of the mean of the latent normal distribution
CovarFun	A functor with an operator()(CovarArgsElements..., {TrainTupleElements...| PredTupleElements...}) method. The operator() method should accept as arguments the inner elements of CovarArgs. The return type of the operator() method should be a type inheriting from Eigen::EigenBase with dynamic sized rows and columns.
CovarArgs	A tuple of types to passed as the first arguments of CovarFun::operator()

Parameters

[in]	y	total counts per group. Second sufficient statistics.
[in]	n_samples	number of samples per group. First sufficient statistics.
[in]	mean	the mean of the latent normal variable.
[in]	covariance_function	a function which returns the prior covariance.
[in]	covar_args	arguments for the covariance function.
[in,out]	msgs	stream for messages from likelihood and covariance

Definition at line 92 of file laplace_marginal_bernoulli_logit_lpmf.hpp.