stochastic_column_constrain() [3/6]

template<bool Jacobian, typename Mat , require_not_std_vector_t< Mat > * = nullptr>

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

inline

Return a column stochastic matrix.

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
Mat	type of the Matrix

Parameters

	y	Free Matrix input of dimensionality (K - 1, M).
[in,out]	lp	log density accumulator

Returns

Matrix with simplex columns of dimensionality (K, M).

Definition at line 78 of file stochastic_column_constrain.hpp.