Bootstrap-style analogue of the MCMC gof_plot: draws
nsim simulated networks from the fitted ALS model, computes the
standard network statistics (sd.rowmean, sd.colmean,
dyad.dep, cycle.dep, trans.dep for unipartite;
sd.rowmean, sd.colmean, four.cycles for bipartite) on
each replicate, and overlays the observed value on a histogram of replicate
values.
Details
Uses simulate.ame_als for the replicates and is therefore
conditional on the fitted point estimates: the noise is resampled, but
mu, beta, a, b, U, V are held fixed. The MCMC gof_plot.ame
also averages over posterior movement in those parameters.