Stan Math Library
4.9.0
Automatic Differentiation
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#include <stan/math/prim/err.hpp>
#include <stan/math/prim/fun/Eigen.hpp>
#include <stan/math/prim/fun/log1m.hpp>
#include <stan/math/prim/fun/sqrt.hpp>
#include <stan/math/prim/fun/square.hpp>
#include <stan/math/prim/constraint/corr_constrain.hpp>
#include <cmath>
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 EigVec , require_eigen_col_vector_t< EigVec > * = nullptr> | |
Eigen::Matrix< value_type_t< EigVec >, Eigen::Dynamic, Eigen::Dynamic > | stan::math::cholesky_corr_constrain (const EigVec &y, int K) |
template<typename EigVec , require_eigen_vector_t< EigVec > * = nullptr> | |
Eigen::Matrix< value_type_t< EigVec >, Eigen::Dynamic, Eigen::Dynamic > | stan::math::cholesky_corr_constrain (const EigVec &y, int K, return_type_t< EigVec > &lp) |
template<bool Jacobian, typename T , require_not_std_vector_t< T > * = nullptr> | |
auto | stan::math::cholesky_corr_constrain (const T &y, int K, return_type_t< T > &lp) |
Return The cholesky of a KxK correlation matrix. | |