econet:一个R包，用于参数依赖的网络中心性度量

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

Journal of Statistical Software Pub Date : 2022-01-01 DOI:10.18637/jss.v102.i08

M. Battaglini, Valerio Leone Sciabolazza, Eleonora Patacchini, Sida Peng

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引用次数: 4

摘要

R包econet提供了使用线性均值模型估计参数相关网络中心性度量的方法。实现了非线性最小二乘估计和极大似然估计。这些方法允许链路和节点在网络效应、内生网络形成和未连接节点的存在方面的异质性。例程还比较了参数依赖的网络中心性度量与标准网络中心性度量的解释力。使用Battaglini和Patacchini(2018)以及Battaglini、Leone Sciabolazza和Patacchini(2020)的数据说明了经济一揽子计划的效益和特征。

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econet: An R Package for Parameter-Dependent Network Centrality Measures

The R package econet provides methods for estimating parameter-dependent network centrality measures with linear-in-means models. Both nonlinear least squares and maximum likelihood estimators are implemented. The methods allow for both link and node heterogeneity in network eﬀects, endogenous network formation and the presence of unconnected nodes. The routines also compare the explanatory power of parameter-dependent network centrality measures with those of standard measures of network centrality. Ben-eﬁts and features of the econet package are illustrated using data from Battaglini and Patacchini (2018) and Battaglini, Leone Sciabolazza, and Patacchini (2020).

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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.