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rem: Relational Event Models (REM)

Calculate endogenous network effects in event sequences and fit relational event models (REM): Using network event sequences (where each tie between a sender and a target in a network is time-stamped), REMs can measure how networks form and evolve over time. Endogenous patterns such as popularity effects, inertia, similarities, cycles or triads can be calculated and analyzed over time.

Version: 1.3.1
Depends: R (≥ 2.14.0)
Imports: Rcpp, foreach, doParallel
LinkingTo: Rcpp
Suggests: texreg, statnet, ggplot2
Published: 2018-10-25
DOI: 10.32614/CRAN.package.rem
Author: Laurence Brandenberger
Maintainer: Laurence Brandenberger <lbrandenberger at ethz.ch>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Citation: rem citation info
CRAN checks: rem results

Documentation:

Reference manual: rem.pdf

Downloads:

Package source: rem_1.3.1.tar.gz
Windows binaries: r-devel: rem_1.3.1.zip, r-release: rem_1.3.1.zip, r-oldrel: rem_1.3.1.zip
macOS binaries: r-release (arm64): rem_1.3.1.tgz, r-oldrel (arm64): rem_1.3.1.tgz, r-release (x86_64): rem_1.3.1.tgz, r-oldrel (x86_64): rem_1.3.1.tgz
Old sources: rem archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=rem 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.