rem (1.3.1)

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Relational Event Models (REM).

http://cran.r-project.org/web/packages/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.

Maintainer: Laurence Brandenberger
Author(s): Laurence Brandenberger

License: GPL (>= 2)

Uses: doParallel, foreach, Rcpp, ggplot2, statnet, texreg
Reverse depends: xergm

Released 11 months ago.


3 previous versions

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