stochastic_row_constrain() [3/6]

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

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

inline

Return a row 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	A type inheriting from Eigen::DenseBase or a var_value with inner type inheriting from Eigen::DenseBase with compile time dynamic rows and dynamic columns

Parameters

[in]	y	free matrix
[in,out]	lp	log density accumulator

Returns

Matrix with simplexes along the rows of dimensionality (N, K).

Definition at line 93 of file stochastic_row_constrain.hpp.