Stan Math Library
5.0.0
Automatic Differentiation
|
return_type_t< T_y, T_dof, T_loc, T_scale > stan::math::multi_student_t_lpdf | ( | const T_y & | y, |
const T_dof & | nu, | ||
const T_loc & | mu, | ||
const T_scale & | Sigma | ||
) |
The log of the multivariate student t density for the given y, mu, nu, and scale matrix.
This version of the function is vectorized on y and mu.
y | scalar vector of random variates |
nu | scalar degrees of freedom |
mu | location vector |
Sigma | scale matrix |
std::domain_error | if LL' is not square, not symmetric, or not semi-positive definite. |
T_y | Type of scalar. |
T_dof | Type of scalar. |
T_loc | Type of location. |
T_scale | Type of scale. |
Definition at line 43 of file multi_student_t_lpdf.hpp.