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.
翻译:ergm 软件包支持网络数据的统计分析和模拟。它固定了2008年《统计软件杂志》特别一期《统计软件杂志》上推出的R类网络分析套件的Satnet套件。文章概述了2021年ergm 4.0版的功能和性能改进情况,包括更灵活地处理节点共变、延长和简化模式规格的操作条件、具有重要边缘的网络新模型、更好地处理网络样本空间的制约因素、提高Markov链 Monte Carlo的性能和最大可能性估算算法、利用模拟肛门和缺失边缘数据估算以某些目标统计数据更广泛和更快地搜索网络。我们还确定了将ergm功能扩展到其他网络数据类型和结构特征的STatnet套件中的新套件,以及支持Satnet开发过程和应用的可靠在线资源组合。