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

Name: Replication Data for: Parameter Estimation Procedures for Exponential-Family Random Graph Models on Count-Valued Networks: A Comparative Simulation Study
Creator: University of California, Irvine
Published: 2023-01-01T00:00:00+08:00

Harvard Dataverse2023-08-01 更新2026-04-09 收录

计数型网络建模

参数估计方法比较

数据链接：

https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/BFVXZ6 数据链接链接失效反馈

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资源简介：

This directory contains a replication data file for Parameter Estimation Procedures for Exponential-Family Random Graph Models on Count-Valued Networks: A Comparative Simulation Study. It also contains a separate R script: the source code of Maximum Pseudo-likelihood Estimation (MPLE) for Count-valued ERGMs.

提供机构：

University of California, Irvine

创建时间：

2023-01-01