lb_constrain() [6/16]

template<typename T , typename L , typename Lp , require_all_stan_scalar_t< T, L > * = nullptr, require_all_not_st_var< T, L > * = nullptr, require_convertible_t< return_type_t< T, L >, Lp > * = nullptr>

auto stan::math::lb_constrain ( const T &  x, const L &  lb, Lp &  lp  )

inline

Return the lower-bounded value for the specified unconstrained input and specified lower bound, incrementing the specified reference with the log absolute Jacobian determinant of the transform.

Specialization of lb_constrain to apply a matrix of lower bounds elementwise to each input element.

Template Parameters

T	Scalar.
L	Scalar.
Lp	scalar, T and L should be convertible to this.

Parameters

[in]	x	unconstrained input
[in]	lb	lower bound on output
[in,out]	lp	reference to log probability to increment

Returns

lower-bound constrained value corresponding to inputs

Template Parameters

T	A type inheriting from EigenBase.
L	A type inheriting from EigenBase.
Lp	Scalar, the scalar type of T and L should be convertible to this.

Parameters

[in]	x	unconstrained input
[in]	lb	lower bound on output
[in,out]	lp	reference to log probability to increment

Returns

lower-bound constrained value corresponding to inputs

Definition at line 63 of file lb_constrain.hpp.