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Stan Math Library
5.1.0
Automatic Differentiation
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The log of the normal density for the specified scalar(s) given the specified mean(s) and deviation(s).
y, mu, or sigma can each be either a scalar or 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/mean/deviation triple.
| T_y | type of scalar |
| T_loc | type of location parameter |
| T_scale | type of scale parameter |
| y | (Sequence of) scalar(s). |
| mu | (Sequence of) location parameter(s) for the normal distribution. |
| sigma | (Sequence of) scale parameters for the normal distribution. |
| std::domain_error | if the scale is not positive. |
Definition at line 44 of file normal_lpdf.hpp.