amorem: Augmented Modelling of Relational Events

Utilities for simulating and prototyping relational event models, including helpers to generate dynamic event sequences and covariate processes for sender and receiver sets. The endogenous-effect and case-control estimation machinery follows Juozaitiene and Wit (2024) <doi:10.1093/jrsssa/qnae132>.

Version:	1.0.0
Depends:	R (≥ 4.2.0)
Imports:	splines, stats, Rcpp, survival, withr
LinkingTo:	Rcpp
Suggests:	torch, testthat (≥ 3.1.0), mgcv, coxme, roxygen2 (≥ 7.3.0), pkgdown (≥ 2.0.0), knitr, rmarkdown
Published:	2026-06-29
DOI:	10.32614/CRAN.package.amorem (may not be active yet)
Author:	Francisco Richter [aut, cre], Martina Boschi [aut], Ernst C. Wit [aut], Melania Lembo [aut]
Maintainer:	Francisco Richter <richtf at usi.ch>
License:	MIT + file LICENSE
URL:	https://franciscorichter.github.io/amorem/, https://github.com/franciscorichter/amorem
NeedsCompilation:	yes
Materials:	README, NEWS
CRAN checks:	amorem results

Documentation:

Reference manual:	amorem.html , amorem.pdf
Vignettes:	Endogenous mechanisms and time-varying global covariates (source, R code) Exogenous dyadic covariates (source, R code) Model comparison on a real REM dataset (source, R code) Simulating relational events (source, R code) Species invasions as a relational event process (source, R code)

Downloads:

Package source:	amorem_1.0.0.tar.gz
Windows binaries:	r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries:	r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available

Linking:

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