operator() rbern rbeta rbinom rchisq rdirich rexp rf rgamma richisq rigamma rlnorm rlogis rmvnorm rmvt rnbinom rnchypgeom rng rnorm rpois rt rtanorm_combo rtanorm_slice rtbnorm_combo rtbnorm_slice rtnorm rtnorm_combo runif rweibull rwish

template<class RNGTYPE> template<matrix_order PO1, matrix_style PS1, matrix_order PO2, matrix_style PS2> Matrix<double, PO1, Concrete> scythe::rng< RNGTYPE >::rmvnorm ( const Matrix< double, PO1, PS1 > &  mu, const Matrix< double, PO2, PS2 > &  sigma  ) [inline] Generate a multivariate normal distributed random variate Matrix. This function returns a pseudo-random matrix-valued variate drawn from the multivariate normal disribution with means and variance-covariance matrix sigma. Parameters: mu A vector containing the distribution means. sigma The distribution variance-covariance matrix. Exceptions: scythe_invalid_arg (Level 1) scythe_dimension_error (Level 1) Referenced by scythe::rng< mersenne >::rmvt().