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.


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.


1.2.8 by Laurence Brandenberger, 3 months ago

Browse source code at

Authors: Laurence Brandenberger

Documentation:   PDF Manual  

GPL (>= 2) license

Imports Rcpp, foreach, doParallel

Suggests texreg, statnet, ggplot2

Linking to Rcpp

Depended on by xergm.

See at CRAN