gwdegree-ergmTerm-b4e39ca9: Geometrically weighted degree distribution

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

Geometrically weighted degree distribution

Description

This term adds one network statistic to the model equal to the weighted degree distribution with decay controlled by the decay parameter, which should be non-negative.

Usage

# binary: gwdegree(decay, fixed=FALSE, attr=NULL, cutoff=30, levels=NULL)

Arguments

decay	nonnegative decay parameter for the degree frequencies; required if fixed=TRUE and ignored with a warning otherwise.
fixed	optional argument indicating whether the decay parameter is fixed at the given value, or is to be fit as a curved exponential-family model (see Hunter and Handcock, 2006). The default is FALSE , which means the scale parameter is not fixed and thus the model is a curved exponential family.
attr	a vertex attribute specification (see Specifying Vertex attributes and Levels (?nodal_attributes) for details.)
cutoff	This optional argument sets the number of underlying degree terms to use in computing the statistics when fixed=FALSE, in order to reduce the computational burden. Its default value can also be controlled by the gw.cutoff term option control parameter. (See ?control.ergm.)
levels	TODO (See Specifying Vertex attributes and Levels (?nodal_attributes) for details.)

See Also

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

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

statnet/ergm documentation built on April 17, 2024, 12:21 p.m.