remstats: Computes Statistics for Relational Event History Data
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: |
3.2.2 |
| 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: |
2024-05-15 |
| 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 tilburguniversity.edu> |
| BugReports: |
https://github.com/TilburgNetworkGroup/remstats/issues |
| License: |
MIT + file LICENSE |
| URL: |
https://tilburgnetworkgroup.github.io/remstats/ |
| NeedsCompilation: |
yes |
| CRAN checks: |
remstats results |
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