rem: Relational Event Models (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.

Version: 1.1.2
Depends: R (≥ 2.14.0)
Imports: Rcpp, flexsurv, survival
LinkingTo: Rcpp
Suggests: xergm, texreg, statnet, ggplot2
Published: 2016-02-19
Author: Laurence Brandenberger
Maintainer: Laurence Brandenberger <laurence.brandenberger at eawag.ch>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Citation: rem citation info
CRAN checks: rem results

Downloads:

Reference manual: rem.pdf
Package source: rem_1.1.2.tar.gz
Windows binaries: r-devel: rem_1.1.2.zip, r-release: rem_1.1.2.zip, r-oldrel: rem_1.1.2.zip
OS X Mavericks binaries: r-release: rem_1.1.2.tgz, r-oldrel: rem_1.1.2.tgz
Old sources: rem archive

Reverse dependencies:

Reverse depends: xergm

Linking:

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