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>.
| Version: |
7.1.0 |
| 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 |
| Published: |
2026-06-15 |
| DOI: |
10.32614/CRAN.package.metainsight (may not be active yet) |
| Author: |
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] |
| Maintainer: |
Alex Sutton <ajs22 at leicester.ac.uk> |
| License: |
GPL-3 |
| NeedsCompilation: |
no |
| Materials: |
README |
| CRAN checks: |
metainsight results |