https://github.com/brandenberger/rem

R-package for relational event models (one- and two-mode networks)
https://github.com/brandenberger/rem

event-history-analysis inference longitudinal-data network-analysis rem social-network

Last synced: about 2 months ago
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R-package for relational event models (one- and two-mode networks)

• Host: GitHub
• URL: https://github.com/brandenberger/rem
• Owner: brandenberger
• Created: 2016-11-21T16:30:08.000Z (over 8 years ago)
• Default Branch: master
• Last Pushed: 2020-08-14T12:59:19.000Z (almost 5 years ago)
• Last Synced: 2024-03-16T05:50:48.788Z (about 1 year ago)
• Topics: event-history-analysis, inference, longitudinal-data, network-analysis, rem, social-network
• Language: R
• Homepage:
• Size: 243 KB
• Stars: 18
• Watchers: 8
• Forks: 3
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# rem

R-package for 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.

[![Build Status](https://travis-ci.org/brandenberger/rem.svg?branch=master)](https://travis-ci.org/brandenberger/rem)

[![cran version](http://www.r-pkg.org/badges/version/rem)](https://cran.r-project.org/package=rem)