Description Usage Arguments Details Value Author(s) See Also Examples

Creates a new `catNetwork`

with specified nodes, categories, parent sets and probability structure.

1 |

`nodes` |
a |

`cats` |
a |

`pars` |
a |

`probs` |
a |

`p.delta1` |
a |

`p.delta2` |
a |

`dagonly` |
a |

If `probs`

is not specified, then a random probability model is assigned with conditional probability values in the union of the intervals [p.delta1, 0.5-p.delta2] and [0.5+p.delta2, 1-p.delta1].
Because of the nested list hierarchy of the probability structure,
specifying the probability argument explicitly can be very elaborated task for large networks.
In the following example we create a small network with only three nodes.
The first node has no pars and only its marginal distribution is given, `c(0.2,0.8)`

.
Note that all inner most vectors in the `probs`

argument, such as `(0.4,0.6)`

,
represent conditional distributions and thus sum to 1.

A `catNetwork`

object.

N. Balov

`catNetwork-class`

, `cnRandomCatnet`

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sdnet documentation built on May 29, 2017, 1:32 p.m.

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