redeem: Relational Event and Durational Event Models

Model relational and durational events in a counting process framework, with functions for estimating and simulating Relational Event Models (REM) and Durational Event Models (DEM). Includes support for time-varying covariates, windowed statistics, and high-dimensional node-level fixed effects. References include Fritz et al. (2026) "Scalable Durational Event Models: Application to Physical and Digital Interactions" <doi:10.48550/arXiv.2504.00049>.

Version: 1.0.0
Depends: R (≥ 4.0.0)
Imports: Rcpp (≥ 1.0.12), data.table, MASS, survival, stats, grDevices, graphics, utils, digest
LinkingTo: Rcpp, RcppProgress, RcppArmadillo
Suggests: testthat (≥ 3.0.0), network, knitr, rmarkdown
Published: 2026-06-22
DOI: 10.32614/CRAN.package.redeem (may not be active yet)
Author: Cornelius Fritz [aut, cre]
Maintainer: Cornelius Fritz <corneliusfritz2010 at gmail.com>
BugReports: https://github.com/corneliusfritz/redeem/issues
License: GPL-3
URL: https://corneliusfritz.github.io/redeem/
NeedsCompilation: yes
Materials: README
CRAN checks: redeem results

Documentation:

Reference manual: redeem.html , redeem.pdf
Vignettes: Introduction to Durational Event Models (source, R code)
Introduction to Relational Event Models (source, R code)
Mathematical Definitions of Sufficient Statistics (source, R code)

Downloads:

Package source: redeem_1.0.0.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): redeem_1.0.0.tgz, r-oldrel (arm64): redeem_1.0.0.tgz, r-release (x86_64): redeem_1.0.0.tgz, r-oldrel (x86_64): redeem_1.0.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=redeem to link to this page.