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rem (version 1.1.2)

Relational Event Models (REM)

Description

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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Version

Install

install.packages('rem')

Monthly Downloads

200

Version

1.1.2

License

GPL (>= 2)

Maintainer

Laurence Brandenberger

Last Published

February 19th, 2016

Functions in rem (1.1.2)

similarityStat

Calculate similarity statistics
eventSequence

Create event sequence
degreeStat

Calculate (in/out)-degree statistics
remRate

Rate function for relational event models
rem-package

Fit Relational Event Models (REM)
fourCycleStat

Calculate four cycle statistics
inertiaStat

Calculate inertia statistics
reciprocityStat

Calculate reciprocity statistics
triadStat

Calculate triad statistics