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rem  

Relational Event Models (REM)
View on CRAN: Click here


Download and install rem package within the R console
Install from CRAN:
install.packages("rem")

Install from Github:
library("remotes")
install_github("cran/rem")

Install by package version:
library("remotes")
install_version("rem", "1.3.1")



Attach the package and use:
library("rem")
Maintained by
Laurence Brandenberger
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-01-02
Latest Update: 2018-10-25
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.
How to cite:
Laurence Brandenberger (2016). rem: Relational Event Models (REM). R package version 1.3.1, https://cran.r-project.org/web/packages/rem. Accessed 05 Mar. 2026.
Previous versions and publish date:
1.1.1 (2016-01-02 09:50), 1.1.2 (2016-02-19 23:50), 1.2.8 (2017-06-23 12:38)
Other packages that cited rem R package
View rem citation profile
Other R packages that rem depends, imports, suggests or enhances
Complete documentation for rem
Functions, R codes and Examples using the rem R package
Some associated functions: createRemDataset . degreeStat . eventSequence . fourCycleStat . inertiaStat . reciprocityStat . rem-package . similarityStat . timeToEvent . triadStat . 
Some associated R codes: RcppExports.R . rem.R . temp.R .  Full rem package functions and examples
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