# Set up network and TERGM formula
nw <- network_initialize(n = 100)
nw <- set_vertex_attribute(nw, "group", rep(1:2, each = 50))
formation <- ~edges
target.stats <- 50
coef.diss <- dissolution_coefs(dissolution = ~offset(edges), duration = 20)
# Estimate the model
est <- netest(nw, formation, target.stats, coef.diss)
# Run diagnostics, saving the networkDynamic objects
dx <- netdx(est, nsteps = 10, nsims = 3, keep.tnetwork = TRUE,
verbose = FALSE)
# Extract the network for simulation 2 from dx object
get_network(dx, sim = 2)
# Extract and collapse the network from simulation 1 at time step 5
get_network(dx, collapse = TRUE, at = 5)
# Parameterize the epidemic model, and simulate it
param <- param.net(inf.prob = 0.3, inf.prob.g2 = 0.15)
init <- init.net(i.num = 10, i.num.g2 = 10)
control <- control.net(type = "SI", nsteps = 10, nsims = 3, verbose = FALSE)
mod <- netsim(est, param, init, control)
# Extract the network for simulation 2 from mod object
get_network(mod, sim = 2)
## Extract and collapse the network from simulation 1 at time step 5
get_network(mod, collapse = TRUE, at = 5)
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