rankedgecov-ergmTerm-5905bc22 function

Dyadic covariates

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

# 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.

ergm:::.formatTermKeywords("ergmTerm", "rank.edgecov", "subsection")