Stan Math Library
5.0.0
Automatic Differentiation
|
return_type_t< T_y_cl, T_scale_cl, T_shape_cl > stan::math::pareto_lpdf | ( | const T_y_cl & | y, |
const T_scale_cl & | y_min, | ||
const T_shape_cl & | alpha | ||
) |
The log of the Cauchy density for the specified scalar(s) given the specified location parameter(s) and scale parameter(s).
y, y_min, or alpha can each either be scalar a vector. Any vector inputs must be the same length.
The result log probability is defined to be the sum of the log probabilities for each observation/y_min/alpha triple.
T_y_cl | type of scalar outcome |
T_scale_cl | type of location |
T_shape_cl | type of scale |
y | (Sequence of) scalar(s). |
y_min | (Sequence of) location(s). |
alpha | (Sequence of) scale(s). |
Definition at line 38 of file pareto_lpdf.hpp.