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rem (version 1.1.1)

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

1.1.1

License

GPL (>= 2)

Maintainer

Laurence Brandenberger

Last Published

January 2nd, 2016

Functions in rem (1.1.1)

similarityStat

Calculate similarity statistics
degreeStat

Calculate (in/out)-degree statistics
rem-package

Fit Relational Event Models (REM)
eventSequence

Create event sequence
inertiaStat

Calculate inertia statistics
triadStat

Calculate triad statistics
remRate

Rate function for relational event models
fourCycleStat

Calculate four cycle statistics
reciprocityStat

Calculate reciprocity statistics