Automatic Differentiation
 
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◆ multi_student_t_lpdf() [1/2]

template<bool propto, typename T_y , typename T_dof , typename T_loc , typename T_scale >
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.

Parameters
yscalar vector of random variates
nuscalar degrees of freedom
mulocation vector
Sigmascale matrix
Returns
The log of the multivariate student t density.
Exceptions
std::domain_errorif LL' is not square, not symmetric, or not semi-positive definite.
Template Parameters
T_yType of scalar.
T_dofType of scalar.
T_locType of location.
T_scaleType of scale.
Returns
log probability of the multivariate student t distribution.

Definition at line 43 of file multi_student_t_lpdf.hpp.