simulate_bootERGM: Simulate new networks from bootERGM objects

In schmid86/bootERGM: Exponential Random Graph Models with Parametric Bootstrapped Pseudolikelihood

Usage

simulate.bootERGM(object, nsim=1, seed=NULL)

Arguments

object	A bootERGM model object
nsim	Number of networks to be simulated
seed	Seed to be set

Author(s)

Christian Schmid ([e-mail])
Bruce Desmarais (http://brucedesmarais.com/)

Examples

# load Faux Mesa High friendship data
data(faux.mesa.high)

# estimate model coefficients using parametric bootstrapped pseudolikelihood
m1 <- bootERGM(faux.mesa.high ~ edges + nodematch("Sex")+ gwesp(0.25, fixed=TRUE), R=500)

# simulate 10 new networks from m1
simulate(m1, nsim=10)

schmid86/bootERGM documentation built on Nov. 5, 2019, 8:44 a.m.