R-package for 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.

brandenberger/rem documentation built on May 13, 2019, 2:29 a.m.

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