{"id":17403760,"url":"https://github.com/marcosci/mini_taskview_ibm","last_synced_at":"2025-08-03T07:31:05.603Z","repository":{"id":80779378,"uuid":"123098641","full_name":"marcosci/mini_taskview_ibm","owner":"marcosci","description":"Taskview for all IBM related 📦 packages in the R universe","archived":false,"fork":false,"pushed_at":"2018-08-13T07:20:46.000Z","size":11,"stargazers_count":3,"open_issues_count":0,"forks_count":2,"subscribers_count":2,"default_branch":"master","last_synced_at":"2024-10-24T00:22:55.648Z","etag":null,"topics":["abm","agent-based-framework","agent-based-modeling","agent-based-simulation","ibm","individual-based-modelling","r"],"latest_commit_sha":null,"homepage":"","language":null,"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/marcosci.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":"2018-02-27T08:37:54.000Z","updated_at":"2019-07-06T16:07:15.000Z","dependencies_parsed_at":null,"dependency_job_id":"f136dfb2-173a-478b-9f7a-5716d2775286","html_url":"https://github.com/marcosci/mini_taskview_ibm","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/marcosci%2Fmini_taskview_ibm","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/marcosci%2Fmini_taskview_ibm/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/marcosci%2Fmini_taskview_ibm/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/marcosci%2Fmini_taskview_ibm/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/marcosci","download_url":"https://codeload.github.com/marcosci/mini_taskview_ibm/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":228534994,"owners_count":17933248,"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":["abm","agent-based-framework","agent-based-modeling","agent-based-simulation","ibm","individual-based-modelling","r"],"created_at":"2024-10-16T19:07:54.540Z","updated_at":"2024-12-06T22:42:05.944Z","avatar_url":"https://github.com/marcosci.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# mini_taskview_ibm\n\nThis is a collection of agent-based (or individual-based) models in R. It includes packages, codes, and tutorials dealing with the simulation of any kidn of agents in a spatially explicit landscape as well as in a non-spatial way. \n\nContributions are welcome! Please submit an issue, or make a contribution. \n\n## Packages\n- [SpaDES](https://github.com/PredictiveEcology/SpaDES) : Metapackage for implementing a variety of event-based models, with a focus on spatially explicit models. These include raster-based, event-based, and agent-based models.\n- [simecol](http://simecol.r-forge.r-project.org/): \"a lightweight R package that employs an object oriented paradigm for the implementation of dynamic simulation models.\"\n- [NetLogoR](https://github.com/PredictiveEcology/NetLogoR): \"Easily create agent-based models in R following the NetLogo framework (Wilensky, 1999).\"\n- [BacArena](https://cran.r-project.org/web/packages/BacArena/): \"An Agent-Based Modeling Framework for Cellular Communities.\"\n- [rtsetse](https://github.com/AndySouth/rtsetse): \"R package for simulating tsetse fly populations to investigate control options.\"\n\n\n## Publications with code\n\n#### spatially explicit\n- [\"Using movement data to estimate contact rates in a simulated environmentally-transmitted disease system\" (doi: https://doi.org/10.1101/261198)](https://github.com/doughertyeric/Anthrax_Sim) \n- [\"Can stochastic geographical evolution re-create macroecological richness–environment correlations?\" (doi: https://10.1111/j.1466-8238.2011.00661.x)](http://binarystore.wiley.com/store/10.1111/j.1466-8238.2011.00661.x/asset/supinfo/GEB_661_sm_AppendixS2.R?v=1\u0026s=dba917a7068184d35d109b6af1b238a5aa45115d)\n\n#### spatially implicit\n- [\"Sexual selection can both increase and decrease extinction probability: reconciling demographic and evolutionary factors\" (doi: https://10.1111/1365-2656.12601)](http://onlinelibrary.wiley.com/doi/10.1111/1365-2656.12601/abstract)\n\n## Tutorials\n- [\"An introduction to Agent-Based Modelling in R\" by Marco Smolla](https://marcosmolla.wordpress.com/2015/07/16/an-introduction-to-agent-based-modelling-in-r/)\n- [\"Tutorial about how to create very simple simulation or agent-based models of cultural evolution in R\" by @amesoudi](https://github.com/amesoudi/cultural_evolution_ABM_tutorial)\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmarcosci%2Fmini_taskview_ibm","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmarcosci%2Fmini_taskview_ibm","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmarcosci%2Fmini_taskview_ibm/lists"}