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Stan Math Library
5.1.0
Automatic Differentiation
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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.