beach

<p>A data set containing the dynamic network of inter personal interactions among the visitors of a beach in southern California.</p>

datasets

Functions are provided to fit temporal lag models to dynamic
networks. The models are build on top of exponential random graph models (ERGM) framework. There are
functions for simulating or forecasting networks for future time points.
Abhirup Mallik & Zack W. Almquist (2019) Stable Multiple Time Step Simulation/Prediction From Lagged Dynamic Network Regression Models, Journal of Computational and Graphical Statistics, 28:4, 967-979, <DOI: 10.1080/10618600.2019.1594834>.

Abhirup Mallik

Simulate Dynamic Networks using Exponential Random Graph Models
(ERGM) Family

Zack Almquist

beach function

<p>A list with 31 elements, each element represent one observation in time. Each element is a network of varying size.</p>

beach: Dynamically changing network of inter personal communication among the visitors of a beach in southern California.

Description

Usage

Arguments

Format