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.


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Reference manual

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install.packages("rem")

1.2.8 by Laurence Brandenberger, 5 months ago


Browse source code at https://github.com/cran/rem


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