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Stan Math Library
5.1.0
Automatic Differentiation
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#include <stan/math/prim/meta.hpp>#include <stan/math/prim/err.hpp>#include <stan/math/prim/fun/constants.hpp>#include <stan/math/prim/fun/distance.hpp>#include <stan/math/prim/fun/Eigen.hpp>#include <stan/math/prim/fun/exp.hpp>#include <stan/math/prim/fun/inv_square.hpp>#include <stan/math/prim/fun/sin.hpp>#include <stan/math/prim/fun/square.hpp>#include <cmath>#include <vector>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. | |
Functions | |
| template<typename T_x , typename T_sigma , typename T_l , typename T_p > | |
| Eigen::Matrix< return_type_t< T_x, T_sigma, T_l, T_p >, Eigen::Dynamic, Eigen::Dynamic > | stan::math::gp_periodic_cov (const std::vector< T_x > &x, const T_sigma &sigma, const T_l &l, const T_p &p) |
| Returns a periodic covariance matrix \( \mathbf{K} \) using the input \(
\mathbf{X} \). | |
| template<typename T_x1 , typename T_x2 , typename T_sigma , typename T_l , typename T_p > | |
| Eigen::Matrix< return_type_t< T_x1, T_x2, T_sigma, T_l, T_p >, Eigen::Dynamic, Eigen::Dynamic > | stan::math::gp_periodic_cov (const std::vector< T_x1 > &x1, const std::vector< T_x2 > &x2, const T_sigma &sigma, const T_l &l, const T_p &p) |
| Returns a periodic covariance matrix \( \mathbf{K} \) using inputs \( \mathbf{X}_1 \) and \( \mathbf{X}_2 \). | |