Model Using Multiple Independent Components

Assumes a Beta prior on the one-dimensional link existence probabilities p. This model has a one-dimensional parameter.

1 | ```
Model.p.BetaPrior(n, shape1 = 1, shape2 = 1)
``` |

`n` |
dimension of matrix. |

`shape1` |
first parameter of Beta prior. Default 1. |

`shape2` |
second parameter of Beta prior. Default 1. |

the resulting model.

1 2 | ```
m <- Model.p.BetaPrior(5)
m$matr(m$rtheta())
``` |

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