Stan Math Library
5.0.0
Automatic Differentiation
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The log of the normal density for the specified scalar(s) given a location of 0 and a scale of 1.
y can be either a scalar or a vector.
The result log probability is defined to be the sum of the log probabilities for each observation.
T_y_cl | type of scalar |
y | Sequence of scalars. |
std::domain_error | if any scalar is nan. |
Definition at line 32 of file std_normal_lpdf.hpp.