attrcov-ergmTerm-a2d6aeef: Edge covariate by attribute pairing

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

Edge covariate by attribute pairing

Description

This term adds one statistic to the model, equal to the sum of the covariate values for each edge appearing in the network, where the covariate value for a given edge is determined by its mixing type on attr. Undirected networks are regarded as having undirected mixing, and it is assumed that mat is symmetric in that case.

This term can be useful for simulating large networks with many mixing types, where nodemix would be slow due to the large number of statistics, and edgecov cannot be used because an adjacency matrix would be too big.

Usage

# binary: attrcov(attr, mat)

Arguments

attr	a vertex attribute specification (see Specifying Vertex attributes and Levels (?nodal_attributes) for details.)
mat	a matrix of covariates with the same dimensions as a mixing matrix for attr

See Also

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

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

ergm documentation built on May 31, 2023, 8:04 p.m.