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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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Installers

Info: This package contains files in non-standard labels.

conda install

To install this package run one of the following:
conda install f30a78ec8/label/testdeps::r-rem

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