This package is considered a duplicate. The official version of this package is found at:https://ajsajs22.r-universe.dev/metainsight

Package: metainsight 7.1.0

Alex Sutton

metainsight: A 'shiny' Application for Network Meta-Analysis

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>.

Authors: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]

metainsight_7.1.0.tar.gz
metainsight_7.1.0.tar.gz(r-4.7-any)metainsight_7.1.0.tar.gz(r-4.6-any)
metainsight_7.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
metainsight/json (API)

# Install 'metainsight' in R:

install.packages('metainsight', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Uses libs:

jags– Just Another Gibbs Sampler for Bayesian MCMC
c++– GNU Standard C++ Library v3

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

quarto jags cpp

2.70 score 6 scripts 65 exports 205 dependencies

Last updated from:726b17dfbd. Checks:4 OK. Indexed: no.

Target	Result	Time
linux-devel-x86_64	OK	370
source / vignettes	OK	379
linux-release-x86_64	OK	365
wasm-release	OK	230

Exports:asyncLog baseline_compare baseline_details baseline_deviance baseline_forest baseline_forest_format baseline_forest_limits baseline_mcmc baseline_model baseline_ranking baseline_regression baseline_results baseline_summary bayes_compare bayes_details bayes_deviance bayes_forest bayes_forest_limits bayes_mcmc bayes_model bayes_nodesplit bayes_nodesplit_plot bayes_ranking bayes_results covariate_compare covariate_details covariate_deviance covariate_forest covariate_mcmc covariate_model covariate_ranking covariate_regression covariate_results covariate_summary density_plots dic_table export_cinema format_step format_xlim freq_compare freq_forest freq_forest_limits freq_inconsistency freq_summary frequentist gelman_plots make_netconnect metaregression_plot printVecAsis ranking_plot ranking_table run_metainsight setup_configure setup_configure_table setup_exclude setup_exclude_plot setup_load setup_upgrade summary_char summary_network summary_study summary_study_limits trace_plots write_plot writeLog

Dependencies:abind askpass attempt backports base64enc bayesplot BH bibtex bigD bit bit64 bitops bnma boot brio bslib cachem callr cellranger checkmate cli clipr clock coda colorspace commonmark CompQuadForm cookies cpp11 crayon crosstalk curl data.table datawizard desc diffobj digest distributional dplyr DT evaluate farver fastmap fontawesome fontBitstreamVera fontLiberation fontquiver forcats foreign fs gargoyle gdtools gemtc generics ggiraph ggiraphExtra ggplot2 ggrepel ggridges glue gridExtra gt gtable haven highr hms htmltools htmlwidgets httpuv httr igraph inline insight isoband jquerylib jsonlite juicyjuice knitcitations knitr labeling later lattice lazyeval lifecycle litedown lme4 loo lubridate magic magick magrittr markdown MASS mathjaxr Matrix matrixStats MCMCvis memoise meta metabook metadat metafor mgcv mime minqa mirai mvtnorm mycor nanonext netmeta nlme nloptr numDeriv openssl otel overlapping patchwork pbapply pillar pkgbuild pkgconfig pkgload plotly plyr posterior ppcor praise prettyunits processx progress promises ps purrr quarto QuickJSR R.methodsS3 R.oo R.utils R6 rappdirs rbibutils RColorBrewer Rcpp RcppEigen RcppParallel Rdpack reactable reactR readr readxl RefManageR reformulas rematch reshape2 Rglpk rintrojs rio rjags rlang rmarkdown rprojroot rstan rstudioapi rsvg S7 sass scales shiny shinyalert shinybusy shinyjs shinyWidgets sjlabelled sjmisc slam sourcetools StanHeaders stringi stringr svglite sys systemfonts tensorA testthat textshaping tibble tidyr tidyselect timechange tinytex truncnorm tzdb utf8 uuid V8 vctrs viridisLite vroom waldo withr writexl xfun xml2 xtable yaml

An introduction to MetaInsight

Rendered fromMetaInsight.qmdusingquarto::htmlon Jun 15 2026.

Last update: 2026-06-15
Started: 2026-06-15

Help page	Topics
_metainsight_: A flexible platform for meta-analysis	metainsight-package metainsight
Compare treatment pairs	baseline_compare
Produce deviance plots for baseline risk models	baseline_deviance
Produce a forest plot for baseline risk models	baseline_forest
Fit a baseline risk regression model	baseline_model
Baseline regression data	baseline_regression
Summarise baseline risk	baseline_summary
Compare treatment pairs	bayes_compare covariate_compare
Summarise a Bayesian model	baseline_details bayes_details covariate_details
Produce deviance plots	bayes_deviance covariate_deviance
Bayesian forest plot	bayes_forest covariate_forest
Markov chain Monte Carlo plots	baseline_mcmc bayes_mcmc covariate_mcmc
Fit a Bayesian model	bayes_model
Fit a Bayesian nodesplitting model	bayes_nodesplit
Bayesian nodesplitting forest plot	bayes_nodesplit_plot
Treatment rankings	baseline_ranking bayes_ranking covariate_ranking
Summarise a Bayesian model	baseline_results bayes_results covariate_results
Fit a covariate regression model	covariate_model
Covariate regression data	covariate_regression
Summarise covariate data	covariate_summary
Creates posterior density plots of MCMC samples.	density_plots
Create a summary table of deviance information criterion stats for Bayesian models	dic_table
export_cinema	export_cinema
Compare treatments for frequentist models	freq_compare
Produce a frequentist forest plot	freq_forest
Inconsistency tables for frequentist models	freq_inconsistency
Summary forest plot matrix	freq_summary
Creates Gelman plots for a gemtc or bnma model.	gelman_plots
Creates network connectivity info displayed under network plots	make_netconnect
Produce a meta-regression plot	metaregression_plot
Calculate edge.weights for network	network_structure
Treatment ranking plots	ranking_plot
Ranking probability table	ranking_table
Run _"metainsight"_ Application	run_metainsight
Configure the analysis	setup_configure
Summarise the analysis configuration	setup_configure_table
Takes the configured data, removes any excluded studies and returns subsets of the data to be passed to other functions.	setup_exclude
Produce an version of the 'summary_study()' plot for use in the interface for excluding studies. Inside the app this is interactive, but it can also be rendered for non-interactive use.	setup_exclude_plot
Load data	setup_load
Upgrade old data formats	setup_upgrade
Characterise the data	summary_char
Produce a plot of the network using 'netmeta::netgraph()'	summary_network
Produce a forest plot of pairwise comparisons, grouped by treatment pairs. If risk of bias data was loaded these are also included.	summary_study
Creates trace plots of MCMC samples.	trace_plots
Write plots to a file	write_plot

Package: metainsight 7.1.0

metainsight: A 'shiny' Application for Network Meta-Analysis

An introduction to MetaInsight

Citation

Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)