ordered_probit_log() [1/2]

template<bool propto, typename T_y , typename T_loc , typename T_cut >

return_type_t< T_loc, T_cut > stan::math::ordered_probit_log	(	const T_y &	y,
		const T_loc &	lambda,
		const T_cut &	c
	)

Returns the (natural) log probability of the integer/s given the vector of continuous location/s and specified cutpoints in an ordered probit model.

Typically the continuous location will be the dot product of a vector of regression coefficients and a vector of predictors for the outcome.

Template Parameters

propto	True if calculating up to a proportion.
T_y	y variable type (int or array of integers).
T_loc	Location type (double or vector).
T_cut	Cut-point type (vector or array of vectors).

Parameters

y	Integers
lambda	Continuous location variables.
c	Positive increasing cutpoints.

Returns

Log probability of outcome given location and cutpoints.

Exceptions

std::domain_error	If the outcome is not between 1 and the number of cutpoints plus 2; if the cutpoint vector is empty; if the cutpoint vector contains a non-positive, non-finite value; or if the cutpoint vector is not sorted in ascending order.
std::invalid_argument	If array y and vector lambda are different lengths.
std::invalid_argument	if array y and array of vectors c are different lengths.

Deprecated:

use ordered_probit_lpmf

Definition at line 41 of file ordered_probit_log.hpp.