Computes Statistics for Relational Event History Data
Overview
Computes a variety of statistics for relational event models (Meijerink et al., 2022, doi:10.3758/s13428-022-01821-8). Relational event models enable researchers to investigate exogenous and endogenous factors, and interactions, 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.
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-07-23
- ERROR11 OK, 2 ERROR2026-07-14
- OK13 OK2026-06-09
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- ERROR12 OK, 1 ERROR2026-06-08
- WARNING12 OK, 1 WARNING2026-06-07
- OK13 OK2026-05-17
- ERROR10 OK, 3 ERROR2026-05-05
- OK12 OK2026-04-25
- NOTE12 OK, 2 NOTE2026-04-22
- ERROR11 OK, 2 NOTE, 1 ERROR2026-04-18
- NOTE12 OK, 2 NOTE2026-04-10
- ERROR11 OK, 2 NOTE, 1 ERROR2026-04-09
- NOTE12 OK, 2 NOTE2026-03-10
Documentation
- Help pages
- 78 (9 internal)
- Examples that run
- 97%60 run in a plain check · 2 only when donttest examples are enabled (R CMD check --as-cran)
- Exported functions with examples
- 91%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 8%
Downloads
Repository
- PRs merged (all time)
- 97%
- Median days to close, 50 most recently updated closed issues
- 94
- Median days to close, 50 most recently updated closed PRs
- 0
Stars over time
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11 development-tooling and community-health practices detected across 6 families in the upstream repository
Checks run against github.com/tilburgnetworkgroup/remstats on 2026-10-21.
The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel
GitHub Pages site last deployed 2026-03-12 · The repository has a site deploy workflow
pkgdown site last built 2026-03-12, before release 4.1.0 (2026-07-15)
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Dependencies
Installing remstats adds 13 packages (9 with compiled code, 13 MB of source tarballs). Heaviest: igraph 4.8 MB, remify 1.9 MB, Rcpp 1.8 MB.
Code & Tests
Datasets
People & History
Previously maintained by Giuseppe Arena (3.2.2 to 3.2.4) and Marlyne Meijerink-Bosman (3.2.0 to 3.2.1).
Pick two releases to compare their code metrics.
- 4.1.0Latest2026-07-15 · current release · diff ↗ ·
added 17 exports
activeDegreeDyad, activeDegreeMax, activeDegreeMin, activeIndegreeReceiver, activeOutdegreeSender, activeReciprocalTie, activeSharedPartners, activeSharedPartners_isp, activeSharedPartners_itp, activeSharedPartners_osp, activeSharedPartners_otp, activeTie, activeTotaldegreeDyad, activeTotaldegreeReceiver, activeTotaldegreeSender, is.remstats_durem, select_stats - 4.0.0
- RR 4.6.0 released · 2026-04-24
- 3.2.52026-03-12 · diff ↗
- RR 4.5.0 released · 2025-04-11
- 3.2.42025-01-29 · diff ↗
- 3.2.22024-05-15 · diff ↗
- RR 4.4.0 released · 2024-04-24
- 3.2.12023-11-29 · diff ↗
- 3.2.02023-11-17
- RR 4.3.0 released · 2023-04-21
Package metadata
- First published
- 2023-11-17
- Total releases
- 7 / 3 yrs
- License
- MIT + file LICENSE OSI · relicensed from GPL (>= 3) in 3.2.2
- Minimum R
- ≥ 4.0.0
- Bundled data
- 2.1 KB / 4 files
- Download size
- 506 KB
Cite
Cite this package
Run in R for the authors' entry:
citation("remstats")The package provides a citation file, so citation() returns the authors' own entry.
It points to 10.3758/s13428-022-01821-8.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.