A 'shiny' Application for Network Meta-Analysis R package metainsight version 7.1.0 Conduct network meta-analyses through a graphical user interface using 'bnma', 'gemtc' and 'netmeta' with additional analysis provided by 'meta' and 'metafor'. Frequentist, Bayesian, meta-regression and baseline risk meta-regression analyses can all be conducted using a consistent data structure and terminology. Many options are provided for downloading publication-ready outputs and analyses can be reproduced outside of the application by downloading a 'quarto' file. The interface was generated using 'shinyscholar'. The initial version of the app was described by Owen et al. (2018) <doi:10.1002/jrsm.1373>, Bayesian ranking visualisations were described by Nevill et al. (2023) <doi:10.1016/j.jclinepi.2023.02.016> and metaregression was described by Morris et al. (2025) <doi:10.1016/j.jclinepi.2025.111839>. Software Depends: R (>= 4.1.0) Imports: bayesplot, bnma (>= 1.4.0), bslib, coda, cookies, DT (>= 0.5), dplyr, gargoyle, gemtc (>= 1.1.1), ggiraphExtra, ggplot2, ggrepel, glue, gt, igraph, jsonlite, knitcitations, knitr, MCMCvis, magick, meta (>= 8.1.0), metafor, mirai (>= 2.0.0), netmeta (>= 3.1.0), patchwork, plotly, quarto, R6, rio, rintrojs, rmarkdown, rsvg, shiny (>= 1.8.1), shinyalert, shinybusy, shinyjs, stringr, shinyWidgets (>= 0.6.0), svglite, tidyr, xml2 Suggests: jsonvalidate, mockery, pdftools, shinytest2, testthat Alex Sutton <ajs22@leicester.ac.uk> Comprehensive R Archive Network (CRAN) Alex Sutton [aut, cre], Naomi Bradbury [aut], Ryan Field [aut], Tom Morris [aut], Clareece Nevill [aut], Janion Nevill [aut], Rhiannon Owen [aut], Simon E. H. Smart [aut], Yiqiao Xin [aut], Nicola Cooper [ctb], Suzanne Freeman [ctb] GPL-3 2026-06-15 application/tgz https://CRAN.R-project.org/package=metainsight doi:10.32614/CRAN.package.metainsight