hergm.gof: Goodness-of-fit

In hergm: Hierarchical Exponential-Family Random Graph Models

Goodness-of-fit

Description

The function gof.hergm accepts an object of class hergm as argument and assesses the goodness-of-fit of the model estimated by function hergm.

Usage

## S3 method for class 'hergm'
gof(object, sample_size = 1000, ...)

Arguments

object	object of class hergm; objects of class hergm can be generated by function hergm.
sample_size	number of samples to generate.
...	additional arguments, to be passed to lower-level functions in the future.

Value

The function gof.hergm returns a list with components:

component.number	number of components.
max.component.size	size of largest component.
distance	geodesic distance of pairs of nodes.
degree	degree of nodes.
edges	number of edges.
stars	number of 2-stars.
triangle	number of triangles.

References

Schweinberger, M. and P. Luna (2018). HERGM: Hierarchical exponential-family random graph models. Journal of Statistical Software, 85, 1–39.

See Also

hergm, simulate.hergm

hergm documentation built on Nov. 10, 2022, 5:09 p.m.