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rem: 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.
Getting started
Browse package contents
Package details |
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| Author | Laurence Brandenberger |
| Maintainer | Laurence Brandenberger <lbrandenberger@ethz.ch> |
| License | GPL (>= 2) |
| Version | 1.3.1 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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