ergm.sign (version 0.1.2)

GoF: Conduct Goodness-of-Fit Diagnostics for a Signed ERGM

Description

Computes the goodness-of-fit (GoF) for a fitted signed exponential random graph model (SERGM). The function simulates new networks using the fitted model and compares key network statistics from the observed network with those from the simulated ones.

Usage

GoF(model, nsim = 200, seed = NULL)

Value

Produces six diagnostic boxplots comparing observed and simulated statistics for the fitted model.

Arguments

model

A fitted signed ERGM (SERGM) object.

nsim

Integer; number of simulated networks to generate. Defaults to 200.

seed

Optional integer seed for reproducibility. Passed to set.seed.

Details

The following diagnostics are plotted:

• Positive degree distribution

• Negative degree distribution

• Edgewise shared enemies distribution (positive edges)

• Edgewise shared enemies distribution (negative edges)

• Edgewise shared friends distribution (positive edges)

• Edgewise shared friends distribution (negative edges)

See Also

ergm, mple_sign

Examples

# \donttest{
data("tribes")
fit <- mple_sign(tribes ~ Pos(~edges) + Neg(~edges))
GoF(fit, nsim = 100)
# }