{"id":17720062,"url":"https://github.com/brandenberger/rem","last_synced_at":"2025-04-01T16:30:58.175Z","repository":{"id":82505401,"uuid":"74383123","full_name":"brandenberger/rem","owner":"brandenberger","description":"R-package for relational event models (one- and two-mode networks)","archived":false,"fork":false,"pushed_at":"2020-08-14T12:59:19.000Z","size":249,"stargazers_count":18,"open_issues_count":0,"forks_count":3,"subscribers_count":8,"default_branch":"master","last_synced_at":"2024-03-16T05:50:48.788Z","etag":null,"topics":["event-history-analysis","inference","longitudinal-data","network-analysis","rem","social-network"],"latest_commit_sha":null,"homepage":"","language":"R","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/brandenberger.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null}},"created_at":"2016-11-21T16:30:08.000Z","updated_at":"2024-03-16T05:50:48.789Z","dependencies_parsed_at":null,"dependency_job_id":"eb9f04c2-079a-4c35-a0da-4d92ae4af480","html_url":"https://github.com/brandenberger/rem","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/brandenberger%2Frem","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/brandenberger%2Frem/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/brandenberger%2Frem/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/brandenberger%2Frem/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/brandenberger","download_url":"https://codeload.github.com/brandenberger/rem/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":246620539,"owners_count":20806790,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["event-history-analysis","inference","longitudinal-data","network-analysis","rem","social-network"],"created_at":"2024-10-25T15:25:18.536Z","updated_at":"2025-04-01T16:30:57.916Z","avatar_url":"https://github.com/brandenberger.png","language":"R","funding_links":[],"categories":[],"sub_categories":[],"readme":"# rem\nR-package for relational event models (REM). \n\nCalculate 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.\n\n\n[![Build Status](https://travis-ci.org/brandenberger/rem.svg?branch=master)](https://travis-ci.org/brandenberger/rem)\n[![cran version](http://www.r-pkg.org/badges/version/rem)](https://cran.r-project.org/package=rem)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbrandenberger%2Frem","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fbrandenberger%2Frem","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbrandenberger%2Frem/lists"}