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.

Build Status cran version

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