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    Stan Math Library
    5.1.0
    
   Automatic Differentiation 
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  inline | 
A wrapper that accepts a tuple as arguments.
| F | Type of log likelhood function. | 
| Theta | Type of latent Gaussian ba | 
| TupleArgs | Type of arguments for covariance function. | 
| Stream | Type of stream for messages. | 
| f | Log likelihood function. | 
| theta | Latent Gaussian variable. | 
| A | Matrix storing initial tangents for higher-order differentiation (line 21 in Algorithm 4, https://arxiv.org/pdf/2306.14976) | 
| hessian_block_size | If Hessian of log likelihood w.r.t theta is block diagonal, size of block. | 
| ll_args | Variadic arguments for likelihood function. | 
| msgs | Streaming messages. | 
Definition at line 403 of file laplace_likelihood.hpp.