rankedgecov-ergmTerm-5905bc22: Dyadic covariates

In ergm.rank: Fit, Simulate and Diagnose Exponential-Family Models for Rank-Order Relational Data

Dyadic covariates

Description

Models the effect of a dyadic covariate on the propensity of an ego i to rank alter j highly.

Usage

# valued: rank.edgecov(x, attrname)

Arguments

x, attrname

either a square matrix of covariates, one for each possible edge in the network, the name of a network attribute of covariates, or a network; if the latter, or if the network attribute named by x is itself a network, optional argument attrname 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", "rank.edgecov", "subsection")}

ergm.rank documentation built on June 22, 2024, 9:13 a.m.