Marcum Christopher Steven, Butts Carter T
National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, United States of America.
Departments of Sociology, Statistics, and EECS, and Institute for Mathematical Behavioral Sciences, University of California, Irvine, Irvine, CA, United States of America.
J Stat Softw. 2015 Mar;64(5):1-36.
The package greatly simplifies the analysis of complex event histories in 𝖱 by providing user friendly tools to build sufficient statistics for the package. Historically, building sufficient statistics to model event sequences (of the form →) using the egocentric generalization of Butts' (2008) for modeling social action has been cumbersome. The package simplifies the construction of the complex list of arrays needed by the rem() model fitting for a variety of cases involving egocentric event data, multiple event types, and/or support constraints. This paper introduces these tools using examples from real data extracted from the American Time Use Survey.
该软件包通过提供用户友好的工具来构建充分统计量,极大地简化了R中复杂事件历史的分析。从历史上看,使用Butts(2008)的自我中心概括来为社会行动建模以构建用于对事件序列(形式为→)进行建模的充分统计量一直很麻烦。该软件包简化了在各种涉及自我中心事件数据、多种事件类型和/或支持约束的情况下,rem()模型拟合所需的复杂数组列表的构建。本文使用从《美国时间使用调查》中提取的真实数据示例来介绍这些工具。