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Stan Math Library
5.1.0
Automatic Differentiation
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#include <stan/math/prim/prob/wiener5_lpdf.hpp>Go to the source code of this file.
Namespaces | |
| namespace | stan |
| The lgamma implementation in stan-math is based on either the reentrant safe lgamma_r implementation from C or the boost::math::lgamma implementation. | |
| namespace | stan::math |
| Matrices and templated mathematical functions. | |
| namespace | stan::math::internal |
| A comparator that works for any container type that has the brackets operator. | |
Functions | |
| template<typename T_x > | |
| auto | stan::math::internal::make_finite (const T_x &x) |
| Make the expression finite. | |
| template<typename T_a , typename T_w , typename T_v > | |
| auto | stan::math::internal::log_probability_distribution (const T_a &a, const T_v &v, const T_w &w) |
| Calculate the probability term 'P' on log scale for distribution. | |
| template<typename T_a , typename T_w , typename T_v > | |
| auto | stan::math::internal::log_probability_GradAV (const T_a &a, const T_v &v, const T_w &w) |
| Calculate the probability term 'P' on log scale for grad_a and grad_v. | |
| template<typename T_x > | |
| auto | stan::math::internal::logMill (T_x &&x) |
| Log of Mill's ratio for the normal distribution. | |
| template<bool NaturalScale = false, typename T_y , typename T_a , typename T_w , typename T_v , typename T_err > | |
| auto | stan::math::internal::wiener4_distribution (const T_y &y, const T_a &a, const T_v &v, const T_w &w, T_err log_err=log(1e-12)) |
| Calculate the wiener4 distribution. | |
| 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)) |
| Calculate derivative of the wiener4 distribution w.r.t. | |
| 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_v (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)) |
| Calculate derivative of the wiener4 distribution w.r.t. | |
| 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_w (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)) |
| Calculate derivative of the wiener4 distribution w.r.t. | |
| template<bool propto = false, typename T_y , typename T_a , typename T_t0 , typename T_w , typename T_v > | |
| auto | stan::math::wiener_lcdf_defective (const T_y &y, const T_a &a, const T_t0 &t0, const T_w &w, const T_v &v, const double &precision_derivatives=1e-4) |
| Log-CDF function for the 4-parameter Wiener distribution. | |