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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
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: redeem_1.0.0.zip, r-release: redeem_1.0.0.zip, r-oldrel: redeem_1.0.0.zip
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.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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