ergm 4.0: New features and improvements

by   Pavel N. Krivitsky, et al.

The ergm package supports the statistical analysis and simulation of network data. It anchors the statnet suite of packages for network analysis in R introduced in a special issue in Journal of Statistical Software in 2008. This article provides an overview of the functionality and performance improvements in the 2021 ergm 4.0 release. These include more flexible handling of nodal covariates, operator terms that extend and simplify model specification, new models for networks with valued edges, improved handling of constraints on the sample space of networks, performance enhancements to the Markov chain Monte Carlo and maximum likelihood estimation algorithms, broader and faster searching for networks with certain target statistics using simulated annealing, and estimation with missing edge data. We also identify the new packages in the statnet suite that extend ergm's functionality to other network data types and structural features, and the robust set of online resources that support the statnet development process and applications.



There are no comments yet.


page 1

page 2

page 3

page 4


ergm 4: Computational Improvements

The ergm package supports the statistical analysis and simulation of net...

An Annealed Sequential Monte Carlo Method for Bayesian Phylogenetics

The estimation of the probability of the data under a given evolutionary...

Fast Maximum Likelihood estimation via Equilibrium Expectation for Large Network Data

Complex network data may be analyzed by constructing statistical models ...

Inference in MCMC step selection models

Habitat selection models are used in ecology to link the distribution of...

Parameter Estimation Procedures for Exponential-Family Random Graph Models on Count-Valued Networks: A Comparative Simulation Study

The exponential-family random graph models (ERGMs) have emerged as an im...

User software for the next generation

New generations of neutron scattering sources and instrumentation are pr...

A set of R packages to estimate population counts from mobile phone data

In this paper, we describe the software implementation of the methodolog...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.