Description Usage Arguments Value

MCMC algorithm using Gibbs sampling for each variable with structural NA

1 2 3 |

`Y` |
relational array of relations |

`X` |
Time x n x n x p covariate array |

`RE` |
random effect to be included ("additive" and/or "multiplicative") |

`R` |
dimension of the multiplicative effects |

`dist` |
standard Exponential or squared Exponential |

`gammapriors` |
inverse-gamma shape and scale parameters for (s2, beta, theta, d) |

`avail` |
Time x n matrix reperesenting the availibility of nodes (1 if avail, 0 if structural NA) |

`burn` |
burn in for the Markov chain |

`nscan` |
number of iterations of the Markov chain (beyond burn-in) |

`odens` |
output density for the Markov chain |

Final estimate of the parameters

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