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Stan Math Library
5.1.0
Automatic Differentiation
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#include <stan/math/prim/meta.hpp>#include <stan/math/prim/err.hpp>#include <stan/math/prim/fun/as_column_vector_or_scalar.hpp>#include <stan/math/prim/fun/size_mvt.hpp>#include <stan/math/prim/fun/to_ref.hpp>#include <stan/math/prim/fun/vector_seq_view.hpp>#include <stan/math/prim/prob/inv_gamma_rng.hpp>#include <boost/random/normal_distribution.hpp>#include <boost/random/variate_generator.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 T_loc , class RNG > | |
| StdVectorBuilder< true, Eigen::VectorXd, T_loc >::type | stan::math::multi_student_t_rng (double nu, const T_loc &mu, const Eigen::Matrix< double, Eigen::Dynamic, Eigen::Dynamic > &S, RNG &rng) |
| Return a multivariate student-t random variate with the given degrees of freedom location and Cholesky factor the scale matrix using the specified random number generator. | |