Goodness-of-fit methods for STERGM CMLE and CMPLE fits
For now, these are simple wrappers around gof.ergm,
print.gof, summary.gof, and
plot.gof, respectively, to run goodness-of-fit for
formation and dissolution models separately. This may change in the future.
## S3 method for class 'stergm' gof(object, ...) ## S3 method for class 'gof.stergm' print(x, ...) ## S3 method for class 'gof.stergm' summary(object, ...) ## S3 method for class 'gof.stergm' plot(x, ..., main = "Goodness-of-fit diagnostics")
object |
For |
... |
Additional arguments passed through to the respective
functions in the |
x |
A |
main |
Gives the title of the goodness-of-fit plots, which will have "Formation:" and "Dissolution:" prepended to it. |
For gof.stergm, an object of class
gof.stergm, which is simply a list with two named
elements: formation and dissolution, each of them a
gof returned by gof.ergm.
For the others, nothing.
stergm(), ergm(), simulate.stergm(), ergm::print.gof(), ergm::plot.gof(),
summary.gof, mcmc.diagnostics.ergm
data(samplk)
# Fit a transition from Time 1 to Time 2
samplk12 <- stergm(list(samplk1, samplk2),
formation=~edges+mutual+transitiveties+cyclicalties,
dissolution=~edges+mutual+transitiveties+cyclicalties,
estimate="CMLE")
samplk12.gof <- gof(samplk12)
samplk12.gof
summary(samplk12.gof)
plot(samplk12.gof)
plot(samplk12.gof, plotlogodds=TRUE)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.