marg_cond_sim function

Calculate gofN()-style Pearson residuals for arbitrary statistics

This function is to be considered experimental. Do NOT rely on it. It may, eventually, be moved to ergm, perhaps integrated into the simulate methods.

marg_cond_sim(
  object,
  nsim = 1,
  obs.twostage = nsim/2,
  GOF = NULL,
  control = control.gofN.ergm(),
  save_stats = FALSE,
  negative_info = c("error", "warning", "message", "ignore"),
  ...
)

Arguments

• object: an ergm object.
• nsim: number of realizations.
• obs.twostage, GOF, save_stats: see gofN().
• control: a control list returned by control.gofN.ergm(); note that nsim and obs.twostage parameters in the control list are ignored in favor of those passed to the function directly.
• negative_info: how to handle the situation in which the constrained variance exceeds the unconstrained: the corresponding action will be taken.
• ...: additional arguments to ergm_model(), simulate.ergm(), and summary.ergm_model().

Returns

an object of similar structure as that returned by gofN().