Automatic Differentiation
 
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◆ wiener7_integrate_cdf()

template<GradientCalc Distribution = GradientCalc::OFF, GradientCalc GradW7 = GradientCalc::OFF, GradientCalc GradSV = GradientCalc::OFF, GradientCalc GradSW = GradientCalc::OFF, GradientCalc GradT = GradientCalc::OFF, GradientCalc Conditionally_cdf = GradientCalc::ON, typename Wiener7FunctorT , typename T_err , typename... TArgs>
auto stan::math::internal::wiener7_integrate_cdf ( const Wiener7FunctorT &  wiener7_functor,
T_err &&  hcubature_err,
TArgs &&...  args 
)
inline

Implementation function for preparing arguments and functor to be passed to the hcubature() function for calculating wiener7 parameters via integration.

Template Parameters
GradSWWhether the wiener7 gradient function is passed
Wiener7FunctorTType of functor
Targs...Types of arguments in parameter pack
Parameters
wiener7_functorGradient/density functor to apply
hcubature_errError tolerance for calculation
argsAdditional arguments to be passed to the hcubature function
Returns
Wiener7 density or gradient calculated by integration

Definition at line 139 of file wiener_full_lcdf_defective.hpp.