Description Usage Arguments Details Author(s)

Functions to aid in the use and construction of CIDnetworks objects

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`nn` |
The number of rows in the square matrix for which we wish to extract the lower or upper diagonal matrix. |

`vec` |
The elements to be divided into ordinal categories. |

`cuts` |
The cut points at which to divide vec into ordinal categories. Default values separate vec into quartiles. |

`gibbs.out` |
The list object of draws from the Gibbs sampler. This re-sorts the object into a matrix form for easier consumption. |

`Xmat` |
A three-dimensional array of covariates, with n.nodes rows and columns. Each slice is a different covariate. |

`n.nodes` |
Number of nodes in network |

`arc.list` |
List of potential edges in network. |

These functions are included for the convenience of users of CIDnetworks. l.diag and u.diag provide the indices of a matrix to extract the lower and upper diagonal elements. ordinal.maker will turn any numeric vector into a series of ordinal integers for easy use in a CIDnetworks outcome. Xmat converts a sociomatrix-style array of covariates into one that can easily be used by the COV() component.

A.C. Thomas <act@acthomas.ca>

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