remstimate: Optimization Frameworks for Tie-Oriented and Actor-Oriented Relational Event Models

Tools for fitting, diagnosing, and analyzing tie-oriented and actor-oriented relational event models, under both frequentist and Bayesian approaches. The package supports tie-oriented modeling (Butts, 2008, <doi:10.1111/j.1467-9531.2008.00203.x>) and an actor-oriented modeling framework (Stadtfeld et al., 2017, <doi:10.15195/v4.a14>), with additional model diagnostics and goodness-of-fit tools. Interfaces to estimation backends provide a range of extensions: random-effects (frailty) relational event models capturing sender, receiver, and dyadic heterogeneity (Juozaitiene & Wit 2024, <doi:10.1007/s11336-024-09952-x>; Mulder & Hoff, 2024, <doi:10.1214/24-AOAS1885>), finite mixture and dyadic latent class models for unobserved dyadic heterogeneity (Lakdawala et al., 2026, <doi:10.1016/j.socnet.2026.06.006>), penalized estimation via the lasso, ridge, and elastic net (Tibshirani, R., 1996, <doi:10.1111/j.2517-6161.1996.tb02080.x>; Karimova et al., 2023, <doi:10.1016/j.socnet.2023.02.006>), and approximate Bayesian regularization (Karimova et al., 2025, <doi:10.1016/j.jmp.2025.102925>). Modeling of events with a duration is also supported (Lakdawala et al., 2026, <doi:10.48550/arXiv.2602.21000>) and moving window relational event models (Mulder & Leenders, 2019, <doi:10.1016/j.chaos.2018.11.027>; Meijerink et al., 2023, <doi:10.1371/journal.pone.0272309>).

Version: 3.1.0
Depends: R (≥ 4.0.0), remify (≥ 4.1.0), remstats (≥ 4.1.0)
Imports: Rcpp, trust, mvnfast
LinkingTo: Rcpp, RcppArmadillo, remify (≥ 4.1.0)
Suggests: knitr, rmarkdown, tinytest, survival, coxme, glmnet, lme4, glmmTMB, flexmix, shrinkem (≥ 0.4.0), MASS, nnet, remdata (≥ 0.2.1)
Published: 2026-07-17
DOI: 10.32614/CRAN.package.remstimate
Author: Giuseppe Arena ORCID iD [aut, cre], Joris Mulder [aut], Rumana Lakdawala [aut], Fabio Generoso Vieira [aut], Marlyne Meijerink-Bosman [ctb], Diana Karimova [ctb], Mahdi Shafiee Kamalabad [ctb], Roger Leenders [ctb]
Maintainer: Giuseppe Arena <g.arena at uva.nl>
BugReports: https://github.com/TilburgNetworkGroup/remstimate/issues
License: MIT + file LICENSE
URL: https://tilburgnetworkgroup.github.io/remstimate/
NeedsCompilation: yes
CRAN checks: remstimate results

Documentation:

Reference manual: remstimate.html , remstimate.pdf
Vignettes: Modeling relational event networks with remstimate (source, R code)

Downloads:

Package source: remstimate_3.1.0.tar.gz
Windows binaries: r-devel: remstimate_3.1.0.zip, r-release: remstimate_3.1.0.zip, r-oldrel: remstimate_3.0.0.zip
macOS binaries: r-release (arm64): remstimate_3.1.0.tgz, r-oldrel (arm64): remstimate_3.1.0.tgz, r-release (x86_64): remstimate_3.1.0.tgz, r-oldrel (x86_64): remstimate_3.1.0.tgz
Old sources: remstimate archive

Reverse dependencies:

Reverse imports: remverse
Reverse suggests: BFpack
Reverse enhances: texreg

Linking:

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