nodecov-ergmTerm-e6fb5c28: Main effect of a covariate

In ergm: Fit, Simulate and Diagnose Exponential-Family Models for Networks

Main effect of a covariate

Description

This term adds a single network statistic for each quantitative attribute or matrix column to the model equaling the sum of attr(i) and attr(j) for all edges (i,j) in the network. For categorical attributes, see nodefactor . Note that for directed networks, nodecov equals nodeicov plus nodeocov .

Usage

# binary: nodecov(attr)

# binary: nodemain

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

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

Arguments

attr	a vertex attribute specification (see Specifying Vertex attributes and Levels (?nodal_attributes) for details.)
form	character how to aggregate tie values in a valued ERGM

Note

ergm versions 3.9.4 and earlier used different arguments for this term. See ergm-options for how to invoke the old behaviour.

See Also

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

\Sexpr[results=rd,stage=render]{ergm:::.formatTermKeywords("ergmTerm", "nodecov", "subsection")}

ergm documentation built on Oct. 7, 2024, 5:08 p.m.