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ergm (version 4.9.0)

nodeicov-ergmTerm: Main effect of a covariate for in-edges

Description

This term adds a single network statistic for each quantitative attribute or matrix column to the model equaling the total value of attr(j) for all edges \((i,j)\) in the network. This term may only be used with directed networks. For categorical attributes, see nodeifactor .

Usage

# binary: nodeicov(attr)

# valued: nodeicov(attr, form="sum")

Arguments

attr

a vertex attribute specification (see Specifying Vertex attributes and Levels (?nodal_attributes) for details.)

form

how to aggregate tie values in a valued ERGM: "sum" (the default) for a statistic of the form \(\sum_{i,j} x_{i,j} y_{i,j}\), where \(y_{i,j}\) is the value of dyad \((i,j)\) and \(x_{i,j}\) is the term's covariate associated with it; and "nonzero" with the edge considered to be present if its value is not 0. See ergmTerm for more information.

See Also

ergmTerm for index of model terms currently visible to the package.

ergm:::.formatTermKeywords("ergmTerm", "nodeicov", "subsection")