◆ bernoulli_logit_glm_rng()

template<typename T_x , typename T_alpha , typename T_beta , class RNG >

VectorBuilder< true, int, T_alpha >::type stan::math::bernoulli_logit_glm_rng	(	const T_x &	x,
		const T_alpha &	alpha,
		const T_beta &	beta,
		RNG &	rng
	)

inline

Returns a draw from the Generalized Linear Model (GLM) with Bernoulli distribution and logit link function.

This is a convenience wrapper around bernoulli_logit_rng(alpha + x * beta, rng).

Template Parameters

T_x	type of the matrix of independent variables (features); this should be an Eigen::Matrix whose number of columns should match the length of beta; the number of rows is the number of samples.
T_alpha	type of the intercept(s); this can be a vector of the same length as y) of intercepts or a single value (for models with constant intercept); if a vector its length should match x's row-count;
T_beta	type of the weight vector;
RNG	Type of pseudo-random number generator.

Parameters

x	design matrix
alpha	intercept (in log odds)
beta	weight vector
rng	Pseudo-random number generator.

Exceptions

std::domain_error	if x, beta or alpha is infinite.
std::invalid_argument	if container sizes mismatch.