simulate.bigergm function

Simulate networks under Exponential Random Graph Models (ERGMs) under local dependence

This function simulates networks under the Exponential Random Graph Model (ERGM) with local dependence with all parameters set according to the estimated model (object). See simulate_bigergm for details of the simulation process

## S3 method for class 'bigergm'
simulate(
  object,
  nsim = 1,
  seed = NULL,
  ...,
  output = "network",
  control_within = ergm::control.simulate.formula(),
  only_within = FALSE,
  verbose = 0
)

Arguments

• object: an object of class bigergm
• nsim: number of networks to be randomly drawn from the given distribution on the set of all networks.
• seed: seed value (integer) for network simulation.
• ...: Additional arguments, passed to simulate_formula.
• output: Normally character, one of "network" (default), "stats", "edgelist", to determine the output of the function.
• control_within: control.simulate.formula object for fine-tuning ERGM simulation of within-block networks.
• only_within: If this is TRUE, only within-block networks are simulated.
• verbose: If this is TRUE/1, the program will print out additional information about the progress of simulation.

Returns

Simulated networks, the output form depends on the parameter output

(default is a list of networks).