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    Stan Math Library
    5.1.0
    
   Automatic Differentiation 
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The log of the negative binomial density for the specified scalars given the specified mean(s) and deviation(s).
n, alpha, or beta can each be either a scalar or a vector matrix_cl. 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_n_cl | type of scalar | 
| T_shape_cl | type of location parameter | 
| T_inv_scale_cl | type of precision parameter | 
| n | (Sequence of) scalar(s). | 
| alpha | (Sequence of) location parameter(s) | 
| beta | (Sequence of) precision parameters | 
| std::domain_error | if the scale is not positive. | 
Definition at line 40 of file neg_binomial_lpmf.hpp.