Posterior samples of the mean vectors from the covariance...

Generate a random sample from the matrix normal distribution

1 | ```
rmn(M = 0, Srow, Scol)
``` |

`M` |
a matrix, mean of the matrix normal distribution. |

`Srow` |
a positive definite matrix, row covariance matrix of the matrix normal distribution. |

`Scol` |
a positive definite matrix, column covariance matrix of the matrix normal distribution |

Return a matrix that comes from a matrix normal distribution with mean M, row covariance Srow, and column covariance Scol.

Xiaoyue Niu and Peter Hoff

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