https://ajsajs22.r-universe.devRecent package updates in ajsajs22R-universehttps://github.com/ajsajs22.pnghttps://ajsajs22.r-universe.devMon, 15 Jun 2026 14:41:11 GMTajs22@leicester.ac.uk (Alex Sutton)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>.https://github.com/r-universe/ajsajs22/actions/runs/27608825820Mon, 15 Jun 2026 14:41:11 GMTmetainsight7.1.0successhttps://ajsajs22.r-universe.devhttps://github.com/cran/metainsightMetaInsight.qmdMetaInsight.htmlAn introduction to MetaInsight2026-06-15 14:41:112026-06-15 14:41:11