◆ stochastic_column_constrain() [6/6]

template<typename T , require_rev_matrix_t< T > * = nullptr>

plain_type_t< T > stan::math::stochastic_column_constrain	(	const T &	y,
		scalar_type_t< T > &	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

T	type of the matrix to constrain

Parameters

y	Free matrix input of dimensionality N, K.
lp	Log probability reference to increment.