simulate.bigergm: Simulate networks under Exponential Random Graph Models...

In bigergm: Fit, Simulate, and Diagnose Hierarchical Exponential-Family Models for Big Networks

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

Description

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

Usage

## 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.

Value

Simulated networks, the output form depends on the parameter output (default is a list of networks).

bigergm documentation built on April 3, 2025, 7:57 p.m.