◆ stochastic_column_constrain() [2/7]

template<typename Mat , typename Lp , require_eigen_matrix_dynamic_t< Mat > * = nullptr, require_not_st_var< Mat > * = nullptr, require_convertible_t< value_type_t< Mat >, Lp > * = nullptr>

plain_type_t< Mat > stan::math::stochastic_column_constrain	(	const Mat &	y,
		Lp &	lp
	)

inline

Return a column stochastic matrix and increment the specified log probability reference with the log absolute Jacobian determinant of the transform.

The simplex transform is defined using the inverse of the isometric log ratio (ILR) transform

Template Parameters

Mat	type of the Matrix
Lp	A scalar type for the lp argument. The scalar type of Mat should be convertable to this.

Parameters

y	Free Matrix input of dimensionality (K - 1, M)
lp	Log probability reference to increment.