b2cov-ergmTerm-abbfac55: Main effect of a covariate for the second mode in a bipartite...

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

Main effect of a covariate for the second 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(j) for all edges (i,j) in the network. This term may only be used with bipartite networks. For categorical attributes, see b2factor.

Usage

# binary: b2cov(attr)

# valued: b2cov(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.

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", "b2cov", "subsection")}

statnet/ergm documentation built on Feb. 28, 2025, 7:05 p.m.