Comparison of open-source software for producing directed acyclic graphs.

IF 1.7 4区 医学 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Journal of Causal Inference Pub Date : 2024-01-01 Epub Date: 2024-01-10 DOI:10.1515/jci-2023-0031
Amy J Pitts, Charlotte R Fowler
{"title":"Comparison of open-source software for producing directed acyclic graphs.","authors":"Amy J Pitts, Charlotte R Fowler","doi":"10.1515/jci-2023-0031","DOIUrl":null,"url":null,"abstract":"<p><p>Many software packages have been developed to assist researchers in drawing directed acyclic graphs (DAGs), each with unique functionality and usability. We examine five of the most common software to generate DAGs: Ti<i>k</i>Z, DAGitty, ggdag, dagR, and igraph. For each package, we provide a general description of its background, analysis and visualization capabilities, and user-friendliness. Additionally in order to compare packages, we produce two DAGs in each software, the first featuring a simple confounding structure, while the second includes a more complex structure with three confounders and a mediator. We provide recommendations for when to use each software depending on the user's needs.</p>","PeriodicalId":48576,"journal":{"name":"Journal of Causal Inference","volume":"12 1","pages":""},"PeriodicalIF":1.7000,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10869111/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Causal Inference","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1515/jci-2023-0031","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/10 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"MATHEMATICS, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0

Abstract

Many software packages have been developed to assist researchers in drawing directed acyclic graphs (DAGs), each with unique functionality and usability. We examine five of the most common software to generate DAGs: TikZ, DAGitty, ggdag, dagR, and igraph. For each package, we provide a general description of its background, analysis and visualization capabilities, and user-friendliness. Additionally in order to compare packages, we produce two DAGs in each software, the first featuring a simple confounding structure, while the second includes a more complex structure with three confounders and a mediator. We provide recommendations for when to use each software depending on the user's needs.

制作有向无环图的开源软件比较。
为了帮助研究人员绘制有向无环图(DAG),已经开发了许多软件包,每种软件都有独特的功能和可用性。我们研究了五种最常用的生成 DAG 的软件:TikZ、DAGitty、ggdag、dagR 和 igraph。我们对每个软件包的背景、分析和可视化能力以及用户友好性进行了总体描述。此外,为了对软件包进行比较,我们在每个软件中制作了两个 DAG,第一个 DAG 包含一个简单的混杂结构,第二个 DAG 包含一个包含三个混杂因素和一个中介因素的更复杂的结构。我们将根据用户的需求,为何时使用每种软件提供建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Journal of Causal Inference
Journal of Causal Inference Decision Sciences-Statistics, Probability and Uncertainty
CiteScore
1.90
自引率
14.30%
发文量
15
审稿时长
86 weeks
期刊介绍: Journal of Causal Inference (JCI) publishes papers on theoretical and applied causal research across the range of academic disciplines that use quantitative tools to study causality.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信