gof.ergm.ego | R Documentation |
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)
object |
An |
... |
Additional arguments. Unused by |
GOF |
A string specifying the statistics whose goodness of fit is to be
evaluated. Currently, only “degree”, “espartners” and “model” are
implemented; see |
control |
A list to control parameters, constructed using
|
verbose |
Provide verbose information on the progress of the simulation. |
x |
an object returned by |
ego.conf.level |
confidence level for the observed statistic estimates as well. |
An object of class gof.ergm.ego
, inheriting from gof.ergm
.
Pavel N. Krivitsky
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. doi: 10.1198/016214507000000446
For examples, see ergm.ego
.
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)
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