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    Stan Math Library
    5.1.0
    
   Automatic Differentiation 
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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 on OpenCL device. 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_cl | type of scalar outcome | 
| T_scale_succ_cl | type of prior scale for successes | 
| T_scale_fail_cl | 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 43 of file beta_lpdf.hpp.