CRAN/E | rem

rem

Relational Event Models (REM)

Installation

About

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.

Citation rem citation info

Key Metrics

Version 1.3.1
R ≥ 2.14.0
Published 2018-10-25 2020 days ago
Needs compilation? yes
License GPL-2
License GPL-3
CRAN checks rem results

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Maintainer

Maintainer

Laurence Brandenberger

lbrandenberger@ethz.ch

Authors

Laurence Brandenberger

Material

Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

rem archive

Depends

R ≥ 2.14.0

Imports

Rcpp
foreach
doParallel

Suggests

texreg
statnet
ggplot2

LinkingTo

Rcpp