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Stan Math Library
5.1.0
Automatic Differentiation
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#include <stan/math/prim/fun/Eigen.hpp>#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/constraint/stochastic_row_constrain.hpp>#include <stan/math/rev/constraint/sum_to_zero_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 T , require_rev_matrix_t< T > * = nullptr> | |
| auto | 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. | |