Stan Math Library
5.0.0
Automatic Differentiation
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return_type_t< T_y, T_scale_succ, T_scale_fail > stan::math::beta_lpdf | ( | const T_y & | y, |
const T_scale_succ & | alpha, | ||
const T_scale_fail & | beta | ||
) |
The log of the beta density for the specified scalar(s) given the specified sample stan::math::size(s).
y, alpha, or beta can each either be 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/alpha/beta triple.
Prior sample sizes, alpha and beta, must be greater than 0.
T_y | type of scalar outcome |
T_scale_succ | type of prior scale for successes |
T_scale_fail | type of prior scale for failures |
y | (Sequence of) scalar(s). |
alpha | (Sequence of) prior sample stan::math::size(s). |
beta | (Sequence of) prior sample stan::math::size(s). |
Definition at line 47 of file beta_lpdf.hpp.