remstimate: Optimization Frameworks for Tie-Oriented and Actor-Oriented
Relational Event Models
A comprehensive set of tools designed for optimizing likelihood within a tie-oriented (Butts, C., 2008, <doi:10.1111/j.1467-9531.2008.00203.x>) or an actor-oriented modelling framework (Stadtfeld, C., & Block, P., 2017, <doi:10.15195/v4.a14>) in relational event networks. The package accommodates both frequentist and Bayesian approaches. Maximum Likelihood Optimization (MLE) is supported. Bayesian estimation is done via Hamiltonian Monte Carlo (HMC).
| Version: |
3.0.0 |
| Depends: |
R (≥ 4.0.0) |
| Imports: |
Rcpp, remify (≥ 4.0.0), remstats (≥ 4.0.0), trust, mvnfast |
| LinkingTo: |
Rcpp, RcppArmadillo, remify (≥ 4.0.0) |
| Suggests: |
knitr, rmarkdown, tinytest, survival |
| Published: |
2026-05-13 |
| DOI: |
10.32614/CRAN.package.remstimate |
| Author: |
Giuseppe Arena 
[aut, cre],
Rumana Lakdawala [aut],
Fabio Generoso Vieira [aut],
Joris Mulder [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:
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