hamming-ergmTerm-82ea89b9: Hamming distance

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

Hamming distance

Description

This term adds one statistic to the model equal to the weighted or unweighted Hamming distance of the network from the network specified by x . Unweighted Hamming distance is defined as the total number of pairs (i,j) (ordered or unordered, depending on whether the network is directed or undirected) on which the two networks differ. If the optional argument cov is specified, then the weighted Hamming distance is computed instead, where each pair (i,j) contributes a pre-specified weight toward the distance when the two networks differ on that pair.

Usage

# binary: hamming(x, cov, attrname=NULL)

Arguments

x	defaults to be the observed network, i.e., the network on the left side of the \sim in the formula that defines the ERGM.
cov	either a matrix of edgewise weights or a network
attrname	option argument that provides the name of the edge attribute to use for weight values when a network is specified in cov

See Also

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

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

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