| Stan Math Library 2.12.0 reverse mode automatic differentiation

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Namespaces | Functions
cov_matrix_constrain_lkj.hpp File Reference
`#include <stan/math/prim/mat/fun/Eigen.hpp>`
`#include <stan/math/prim/scal/fun/corr_constrain.hpp>`
`#include <stan/math/prim/scal/fun/positive_constrain.hpp>`
`#include <stan/math/prim/mat/fun/read_cov_matrix.hpp>`

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::cov_matrix_constrain_lkj (const Eigen::Matrix< T, Eigen::Dynamic, 1 > &x, size_t k)
| Return the covariance matrix of the specified dimensionality derived from constraining the specified vector of unconstrained values. More...
template<typename T >
Eigen::Matrix< T, Eigen::Dynamic, Eigen::Dynamic > | stan::math::cov_matrix_constrain_lkj (const Eigen::Matrix< T, Eigen::Dynamic, 1 > &x, size_t k, T &lp)
| Return the covariance matrix of the specified dimensionality derived from constraining the specified vector of unconstrained values and increment the specified log probability reference with the log absolute Jacobian determinant. More...

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