Automatic Differentiation
 
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◆ wiener4_cdf_grad_a()

template<typename T_y , typename T_a , typename T_v , typename T_w , typename T_cdf , typename T_err >
auto stan::math::internal::wiener4_cdf_grad_a ( const T_y &  y,
const T_a &  a,
const T_v &  v,
const T_w &  w,
T_cdf &&  cdf,
T_err  log_err = log(1e-12) 
)
inline

Calculate derivative of the wiener4 distribution w.r.t.

'a' (natural-scale)

Parameters
yThe reaction time in seconds
aThe boundary separation
vThe relative starting point
wThe drift rate
cdfThe value of the distribution
log_errThe log error tolerance in the computation of the number of terms for the infinite sums
Returns
Gradient with respect to a

Definition at line 246 of file wiener4_lcdf_defective.hpp.