Computes a variety of statistics for relational event models. Relational event models enable researchers to investigate both exogenous and endogenous factors influencing the evolution of a time-ordered sequence of events. These models are categorized into tie-oriented models (Butts, C., 2008, <doi:10.1111/j.1467-9531.2008.00203.x>), where the probability of a dyad interacting next is modeled in a single step, and actor-oriented models (Stadtfeld, C., & Block, P., 2017, <doi:10.15195/v4.a14>), which first model the probability of a sender initiating an interaction and subsequently the probability of the sender's choice of receiver. The package is designed to compute a variety of statistics that summarize exogenous and endogenous influences on the event stream for both types of models.
Version: 3.2.4 Depends: R (≥ 4.0.0) Imports: Rcpp (≥ 1.0.8.3), stats, graphics, grDevices LinkingTo: Rcpp, RcppArmadillo, RcppProgress Suggests: tinytest, remify (≥ 3.2.0), knitr, rmarkdown Published: 2025-01-29 DOI: 10.32614/CRAN.package.remstats Author: Giuseppe Arena [aut, cre], Marlyne Meijerink-Bosman [aut], Diana Karimova [ctb], Rumana Lakdawala [ctb], Mahdi Shafiee Kamalabad [ctb], Fabio Generoso Vieira [ctb], Roger Leenders [ctb], Joris Mulder [ctb] Maintainer: Giuseppe Arena <g.arena at uva.nl> BugReports: https://github.com/TilburgNetworkGroup/remstats/issues License: MIT + file LICENSE URL: https://tilburgnetworkgroup.github.io/remstats/ NeedsCompilation: yes CRAN checks: remstats results Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=remstats to link to this page.
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