EconPapers    
Economics at your fingertips  
 

Constructing and Modifying Sequence Statistics for relevent Using informR in R

Christopher Steven Marcum and Carter T. Butts

Journal of Statistical Software, 2015, vol. 064, issue i05

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.

Date: 2015-03-20
References: Add references at CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
https://www.jstatsoft.org/index.php/jss/article/view/v064i05/v64i05.pdf
https://www.jstatsoft.org/index.php/jss/article/do ... informR_1.0-5.tar.gz
https://www.jstatsoft.org/index.php/jss/article/do ... elevent_1.0-4.tar.gz
https://www.jstatsoft.org/index.php/jss/article/do ... ile/v064i05/v64i05.R

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:jss:jstsof:v:064:i05

DOI: 10.18637/jss.v064.i05

Access Statistics for this article

Journal of Statistical Software is currently edited by Bettina Grün, Edzer Pebesma and Achim Zeileis

More articles in Journal of Statistical Software from Foundation for Open Access Statistics
Bibliographic data for series maintained by Christopher F. Baum ().

 
Page updated 2025-03-19
Handle: RePEc:jss:jstsof:v:064:i05