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 O, matrix_style S> Matrix<double, O, Concrete> scythe::rng< RNGTYPE >::rmvt ( const Matrix< double, O, S > &  sigma, double  nu  ) [inline] Generate a multivariate Student t distributed random variate Matrix. This function returns a pseudo-random matrix-valued variate drawn from the multivariate Student t disribution with and variance-covariance matrix sigma, and degrees of freedom nu Parameters: sigma The distribution variance-covariance matrix. nu The strictly positive degrees of freedom. Exceptions: scythe_invalid_arg (Level 1) scythe_dimension_error (Level 1)