b1cov-ergmTerm-a16e8340: Main effect of a covariate for the first mode in a bipartite...

b1cov-ergmTermR Documentation

Main effect of a covariate for the first mode in a bipartite network

Description

This term adds a single network statistic for each quantitative attribute or matrix column to the model equaling the total value of attr(i) for all edges (i,j) in the network. This term may only be used with bipartite networks. For categorical attributes, see b1factor .

Usage

# binary: b1cov(attr)

# valued: b1cov(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", "b1cov", "subsection")}

ergm documentation built on May 29, 2024, 7:15 a.m.