Stan Math Library
5.0.0
Automatic Differentiation
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#include <stan/math/rev/core.hpp>
#include <stan/math/prim/err.hpp>
#include <stan/math/prim/fun/Eigen.hpp>
#include <stan/math/prim/fun/exp.hpp>
#include <stan/math/prim/fun/sum.hpp>
#include <stan/math/prim/fun/to_ref.hpp>
#include <cmath>
#include <stdexcept>
#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 , require_var_vector_t< T > * = nullptr> | |
var_value< Eigen::MatrixXd > | stan::math::cholesky_factor_constrain (const T &x, int M, int N) |
Return the Cholesky factor of the specified size read from the specified vector. | |
template<typename T , require_var_vector_t< T > * = nullptr> | |
var_value< Eigen::MatrixXd > | stan::math::cholesky_factor_constrain (const T &x, int M, int N, scalar_type_t< T > &lp) |
Return the Cholesky factor of the specified size read from the specified vector and increment the specified log probability reference with the log Jacobian adjustment of the transform. | |