coDyadCovar: Function to create a constant dyadic covariate object.
In RSiena: Siena - Simulation Investigation for Empirical Network Analysis

coDyadCovar

R Documentation

Function to create a constant dyadic covariate object.

Description

This function creates a constant dyadic covariate object from a matrix.

Usage

coDyadCovar(val, centered=TRUE, nodeSets=c("Actors", "Actors"),
     warn=TRUE, sparse=inherits(val,"TsparseMatrix"), type=c("oneMode", "bipartite"))

Arguments

`val`	Matrix of covariate values. May be sparse, of type `"TsparseMatrix"`.
`centered`	Boolean: if TRUE, then the mean value is subtracted.
`nodeSets`	The name of the node sets with which this covariate is associated. If the entire data set contains more than one node set, then the node sets must be specified in all data objects.
`warn`	Logical: is a warning given if all values are `NA`, or all non-missing values are the same.
`sparse`	Boolean: whether a sparse matrix or not.
`type`	oneMode or bipartite: whether the matrix refers to a one-mode or a bipartite (two-mode) network.

Details

When part of a Siena data object, the covariate is assumed to be associated with the node sets named in nodeSets of the Siena data object. The name of the associated node sets will only be checked when the Siena data object is created.