STERGM approximation

The relationalstats.stergm module provides an initial separable temporal dyadic-logistic approximation.

It is not a full MCMC-MLE implementation equivalent to R tergm or stergm.

Public API

from relationalstats.datasets import make_stergm_temporal_toy
from relationalstats.stergm import STERGM

G1, G2 = make_stergm_temporal_toy()

result = STERGM(
    formation_terms=["edges", "common_neighbors", "degree1", "gwesp"],
    dissolution_terms=["edges", "common_neighbors", "degree1", "gwesp"],
    backend="sklearn",
    random_state=42,
).fit(G1, G2)

result.to_dataframe()
simulated = result.simulate(seed=123)

Documentation

• Temporal dyads
• Limitations
• Validation against R