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 timestamped), 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.
Package details 


Author  Laurence Brandenberger 
Maintainer  Laurence Brandenberger <[email protected]> 
License  GPL (>= 2) 
Version  1.3.1 
Package repository  View on GitHub 
Installation 
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