ordered_logistic_glm_lpmf() [1/3]

template<bool propto, typename T_y , typename T_x , typename T_beta , typename T_cuts , require_all_prim_or_rev_kernel_expression_t< T_y, T_x, T_beta, T_cuts > * = nullptr>

return_type_t< T_x, T_beta, T_cuts > stan::math::ordered_logistic_glm_lpmf	(	const T_y &	y,
		const T_x &	x,
		const T_beta &	beta,
		const T_cuts &	cuts
	)

Returns the log PMF of the ordinal regression Generalized Linear Model (GLM).

This is equivalent to and faster than ordered_logistic_lpmf(y, x * beta, cuts). This is an overload of the GLM in prim/prob/ordered_logistic_glm_lpmf.hpp that is implemented in OpenCL.

Template Parameters

T_beta	type the vector of weights
T_cuts	type the vector of cutpoints

Parameters

y	a scalar or vector of classes on OpenCL device. If it is a scalar it will be broadcast - used for all instances. Values should be between 1 and number of classes, including endpoints.
x	design matrix or row vector on OpenCL device. This overload does not support broadcasting of a row vector x!
beta	weight vector
cuts	cutpoints vector

Returns

log probability

Exceptions

std::domain_error	If any class is not between 1 and the number of cutpoints plus 2 or if the cutpoint vector is not sorted in ascending order or any input is not finite
std::invalid_argument	if container sizes mismatch.

Definition at line 52 of file ordered_logistic_glm_lpmf.hpp.