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Last data update: 2014.03.03

R: Goodness-of-fit

gof	R Documentation

Goodness-of-fit

Description

The function gof.hergm assesses the goodness-of-fit of the model by generating posterior predictions based on a MCMC sample generated by function hergm.

Usage


## S3 method for class 'hergm'
gof(sample = NULL,
          ...)

Arguments

`sample`	MCMC sample generated by function `hergm`.
`...`	additional arguments, to be passed to lower-level functions in the future.

Value

`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.

Examples

## Not run: 
data(example)

sample <- hergm(d ~ edges_ij + triangle_ijk)

gof.hergm(sample)

## End(Not run)