◆ 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 through a centered stick-breaking process.

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.