dyadcov-ergmTerm-5fba5404: Dyadic covariate

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

Dyadic covariate

Description

This term adds three statistics to the model, each equal to the sum of the covariate values for all dyads occupying one of the three possible non-empty dyad states (mutual, upper-triangular asymmetric, and lower-triangular asymmetric dyads, respectively), with the empty or null state serving as a reference category. If the network is undirected, x is either a matrix of edgewise covariates, or a network; if the latter, optional argument attrname provides the name of the edge attribute to use for edge values. This term adds one statistic to the model, equal to the sum of the covariate values for each edge appearing in the network. The edgecov and dyadcov terms are equivalent for undirected networks.

Usage

# binary: dyadcov(x, attrname=NULL)

Arguments

x, attrname

a specification for the dyadic covariate: either one of the following, or the name of a network attribute containing one of the following: a covariate matrix with dimensions n \times n for unipartite networks and b \times (n-b) for bipartite networks; attrname, if given, is used to construct the term name. a network object with the same size and bipartitedness as LHS; attrname, if given, provides the name of the quantitative edge attribute to use for covariate values (in this case, missing edges in x are assigned a covariate value of zero).

See Also

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

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

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