gof.ergm.ego function

Conduct Goodness-of-Fit Diagnostics on a Exponential Family Random Graph Model fit to Egocentrically Sampled Data

gof.ergm.ego() implements the gof() method for ergm.ego fit objects.

An enhanced plotting method is also provided, giving uncertainty bars for the observed statistics as well.

## S3 method for class 'ergm.ego'
gof(
  object,
  ...,
  GOF = c("model", "degree", "espartners"),
  control = control.gof.ergm(),
  verbose = FALSE
)

## S3 method for class 'gof.ergm.ego'
plot(x, ..., ego.conf.level = 0.95)

Arguments

• object: An ergm.ego fit.
• ...: Additional arguments. Unused by gof.ergm.ego(), passed to ergm::plot.gof() by plot.gof.ergm.ego()
• GOF: A string specifying the statistics whose goodness of fit is to be evaluated. Currently, only degree , espartners and model are implemented; see gof() documentation for details.
• control: A list to control parameters, constructed using control.gof.formula() or control.gof.ergm() (which have different defaults).
• verbose: Provide verbose information on the progress of the simulation.
• x: an object returned by gof.ergm.ego().
• ego.conf.level: confidence level for the observed statistic estimates as well.

Returns

An object of class gof.ergm.ego, inheriting from gof.ergm().

Examples

data(faux.mesa.high)
fmh.ego <- as.egor(faux.mesa.high)

head(fmh.ego)

egofit <- ergm.ego(fmh.ego~edges+degree(0:3)+nodefactor("Race")+nodematch("Race")
                         +nodefactor("Sex")+nodematch("Sex")+absdiff("Grade"), 
                          popsize=network.size(faux.mesa.high))

# Check whether the model "converged":
(modelgof <- gof(egofit, GOF="model"))
plot(modelgof)

# Check whether the model reconstructs the degree distribution:
(deggof <- gof(egofit, GOF="degree"))
plot(deggof)

References

• David R. Hunter, Steven M. Goodreau, and Mark S. Handcock (2008). "Goodness of Fit of Social Network Models." Journal of the American Statistical Association, 103:481: 248–258. tools:::Rd_expr_doi("10.1198/016214507000000446")

See Also

For examples, see ergm.ego().

Author(s)

Pavel N. Krivitsky