Stan Math Library
5.0.0
Automatic Differentiation
|
#include <stan/math/rev/meta.hpp>
#include <stan/math/rev/core/reverse_pass_callback.hpp>
#include <stan/math/rev/core/arena_matrix.hpp>
#include <stan/math/rev/fun/value_of.hpp>
#include <stan/math/prim/fun/Eigen.hpp>
#include <stan/math/prim/fun/inv_logit.hpp>
#include <stan/math/prim/fun/log1p_exp.hpp>
#include <cmath>
#include <tuple>
#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_rev_matrix_t< T > * = nullptr> | |
plain_type_t< T > | stan::math::stochastic_row_constrain (const T &y) |
Return a row stochastic matrix. | |
template<typename T , require_rev_matrix_t< T > * = nullptr> | |
plain_type_t< T > | stan::math::stochastic_row_constrain (const T &y, scalar_type_t< T > &lp) |
Return a row stochastic matrix and increment the specified log probability reference with the log absolute Jacobian determinant of the transform. | |