positive_constrain() [3/3]

template<bool Jacobian, typename T , typename Lp , require_not_std_vector_t< T > * = nullptr, require_convertible_t< return_type_t< T >, Lp > * = nullptr>

auto stan::math::positive_constrain ( const T &  x, Lp &  lp  )

inline

Return the positive value for the specified unconstrained input.

If the Jacobian parameter is true, the log density accumulator is incremented with the log absolute Jacobian determinant of the transform. All of the transforms are specified with their Jacobians in the Stan Reference Manual chapter Constraint Transforms.

Template Parameters

Jacobian	if true, increment log density accumulator with log absolute Jacobian determinant of constraining transform
T	A type inheriting from Eigen::EigenBase, a var_value with inner type inheriting from Eigen::EigenBase, a standard vector, or a scalar
Lp	A scalar type for the lp argument. The scalar type of T should be convertable to this.

Parameters

	x	unconstrained value or container
[in,out]	lp	log density accumulator

Returns

positive constrained version of unconstrained value(s)

If the Jacobian parameter is true, the log density accumulator is incremented with the log absolute Jacobian determinant of the transform. All of the transforms are specified with their Jacobians in the Stan Reference Manual chapter Constraint Transforms.

Template Parameters

Jacobian	if true, increment log density accumulator with log absolute Jacobian determinant of constraining transform
T	A standard vector with inner type inheriting from Eigen::EigenBase, a var_value with inner type inheriting from Eigen::EigenBase, a standard vector, or a scalar
Lp	A scalar type for the lp argument. The scalar type of T should be convertable to this.

Parameters

	x	unconstrained value or container
[in,out]	lp	log density accumulator

Returns

positive constrained version of unconstrained value(s)

Definition at line 69 of file positive_constrain.hpp.