Automatic Differentiation
 
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simplex_constrain.hpp File Reference

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 Vec , require_eigen_vector_t< Vec > * = nullptr, require_not_st_var< Vec > * = nullptr>
plain_type_t< Vec > stan::math::simplex_constrain (const Vec &y)
 Return the simplex corresponding to the specified free vector.
 
template<typename Vec , require_eigen_vector_t< Vec > * = nullptr, require_not_st_var< Vec > * = nullptr>
plain_type_t< Vec > stan::math::simplex_constrain (const Vec &y, value_type_t< Vec > &lp)
 Return the simplex corresponding to the specified free vector and increment the specified log probability reference with the log absolute Jacobian determinant of the transform.
 
template<bool Jacobian, typename Vec , require_not_std_vector_t< Vec > * = nullptr>
plain_type_t< Vec > stan::math::simplex_constrain (const Vec &y, return_type_t< Vec > &lp)
 Return the simplex corresponding to the specified free vector.
 
template<bool Jacobian, typename T , require_std_vector_t< T > * = nullptr>
auto stan::math::simplex_constrain (const T &y, return_type_t< T > &lp)
 Return the simplex corresponding to the specified free vector.