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Stan Math Library
5.1.0
Automatic Differentiation
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inline |
Utility function for estimating a function with a given set of arguments, checking the result against a provided error tolerance, and re-estimating the function with the increased error if it fails.
| ErrIndex | Position of the error argument in the provided arguments |
| GradW7 | Whether the gradient of w is computed |
| NestedIndex | Nested position if the error argument is within a tuple |
| LogResult | Whether result is on log- or on natural-scale |
| F | Type of functor |
| T_err | type of error |
| ArgsTupleT | Type of tuple of arguments for functor |
| functor | Function to apply |
| err | Error value to check against |
| args_tuple | Tuple of arguments to pass to functor |
Definition at line 632 of file wiener5_lpdf.hpp.