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Stan Math Library
2.20.0
reverse mode automatic differentiation
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#include <stan/math/prim/mat/fun/Eigen.hpp>
#include <stan/math/prim/mat/fun/mean.hpp>
#include <unsupported/Eigen/FFT>
#include <complex>
#include <vector>
Go to the source code of this file.
Namespaces | |
stan | |
stan::math | |
Matrices and templated mathematical functions. | |
stan::math::internal | |
Functions | |
size_t | stan::math::internal::fft_next_good_size (size_t N) |
Find the optimal next size for the FFT so that a minimum number of zeros are padded. More... | |
template<typename T > | |
void | stan::math::autocorrelation (const std::vector< T > &y, std::vector< T > &ac, Eigen::FFT< T > &fft) |
Write autocorrelation estimates for every lag for the specified input sequence into the specified result using the specified FFT engine. More... | |
template<typename T , typename DerivedA , typename DerivedB > | |
void | stan::math::autocorrelation (const Eigen::MatrixBase< DerivedA > &y, Eigen::MatrixBase< DerivedB > &ac, Eigen::FFT< T > &fft) |
Write autocorrelation estimates for every lag for the specified input sequence into the specified result using the specified FFT engine. More... | |
template<typename T > | |
void | stan::math::autocorrelation (const std::vector< T > &y, std::vector< T > &ac) |
Write autocorrelation estimates for every lag for the specified input sequence into the specified result. More... | |
template<typename T , typename DerivedA , typename DerivedB > | |
void | stan::math::autocorrelation (const Eigen::MatrixBase< DerivedA > &y, Eigen::MatrixBase< DerivedB > &ac) |
Write autocorrelation estimates for every lag for the specified input sequence into the specified result. More... | |