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Stan Math Library
2.9.0
reverse mode automatic differentiation
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#include <stan/math/prim/mat/fun/Eigen.hpp>
#include <stan/math/prim/scal/fun/log1m.hpp>
#include <stan/math/prim/scal/fun/square.hpp>
#include <stan/math/prim/mat/fun/sum.hpp>
#include <cstddef>
#include <iostream>
Go to the source code of this file.
Namespaces | |
stan | |
stan::math | |
Matrices and templated mathematical functions. | |
Functions | |
template<typename T > | |
Eigen::Matrix< T, Eigen::Dynamic, Eigen::Dynamic > | stan::math::read_corr_L (const Eigen::Array< T, Eigen::Dynamic, 1 > &CPCs, const size_t K) |
Return the Cholesky factor of the correlation matrix of the specified dimensionality corresponding to the specified canonical partial correlations. More... | |
template<typename T > | |
Eigen::Matrix< T, Eigen::Dynamic, Eigen::Dynamic > | stan::math::read_corr_L (const Eigen::Array< T, Eigen::Dynamic, 1 > &CPCs, const size_t K, T &log_prob) |
Return the Cholesky factor of the correlation matrix of the specified dimensionality corresponding to the specified canonical partial correlations, incrementing the specified scalar reference with the log absolute determinant of the Jacobian of the transformation. More... | |