ergm 4:分析指数族随机图模型的新特征

IF 5.4 2区计算机科学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Journal of Statistical Software Pub Date : 2021-06-09 DOI:10.18637/jss.v105.i06

P. Krivitsky, David R. Hunter, M. Morris, Chad Klumb

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引用次数: 13

摘要

ergm包支持网络数据的统计分析和仿真。它锚定了用于网络分析的statnet套件，该套件在2008年统计软件杂志的特刊中介绍过。本文概述了2021年发布的ergm version 4中的新功能。其中包括更灵活地处理节点协变量、扩展和简化模型规范的术语算子、具有值边的网络新模型、改进的网络样本空间约束处理以及缺失边数据的估计。我们还确定了statnet套件中的新包，这些包将ergm的功能扩展到其他网络数据类型和结构特征，以及支持statnet开发过程和应用程序的强大在线资源集。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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ergm 4: New Features for Analyzing Exponential-Family Random Graph Models

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 new functionality in the 2021 release of ergm version 4. These include more flexible handling of nodal covariates, term operators that extend and simplify model specification, new models for networks with valued edges, improved handling of constraints on the sample space of networks, 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.

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来源期刊

Journal of Statistical Software 工程技术-计算机：跨学科应用

CiteScore

10.70

自引率

1.70%

发文量

审稿时长

6-12 weeks

期刊介绍： The Journal of Statistical Software (JSS) publishes open-source software and corresponding reproducible articles discussing all aspects of the design, implementation, documentation, application, evaluation, comparison, maintainance and distribution of software dedicated to improvement of state-of-the-art in statistical computing in all areas of empirical research. Open-source code and articles are jointly reviewed and published in this journal and should be accessible to a broad community of practitioners, teachers, and researchers in the field of statistics.