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Constructing and Modifying Sequence Statistics for relevent Using informR in R

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  • Marcum, Christopher Steven
  • Butts, Carter T.

Abstract

The informR package greatly simplifies the analysis of complex event histories in R by providing user friendly tools to build sufficient statistics for the relevent package. Historically, building sufficient statistics to model event sequences (of the form a / b) using the egocentric generalization of Butts’ (2008) relational event framework for modeling social action has been cumbersome. The informR 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.

Suggested Citation

  • Marcum, Christopher Steven & Butts, Carter T., 2015. "Constructing and Modifying Sequence Statistics for relevent Using informR in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 64(i05).
    • Handle: RePEc:jss:jstsof:v:064:i05
    DOI: http://hdl.handle.net/10.18637/jss.v064.i05
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    Cited by:

    1. Michael T. Heaney, 2021. "Tweeting #RamNavami: A Comparison of Approaches to Analyzing Bipartite Networks," IIM Kozhikode Society & Management Review, , vol. 10(2), pages 127-135, July.
    2. Cornelius Fritz & Michael Lebacher & Göran Kauermann, 2020. "Tempus volat, hora fugit: A survey of tie‐oriented dynamic network models in discrete and continuous time," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 74(3), pages 275-299, August.

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