Package: metainsight 7.1.0

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.zip(r-4.7)metainsight_7.1.0.zip(r-4.6)metainsight_7.1.0.zip(r-4.5)
metainsight_7.1.0.tgz(r-4.6-any)metainsight_7.1.0.tgz(r-4.5-any)
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://ajsajs22.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:

Conda:

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

quartojagscpp

2.70 score 6 scripts 65 exports 205 dependencies

Last updated from:726b17dfbd. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK291
source / vignettesOK297
linux-release-x86_64OK338
macos-release-arm64OK345
macos-oldrel-arm64OK351
windows-develOK361
windows-releaseOK330
windows-oldrelOK313
wasm-releaseOK192

Exports:asyncLogbaseline_comparebaseline_detailsbaseline_deviancebaseline_forestbaseline_forest_formatbaseline_forest_limitsbaseline_mcmcbaseline_modelbaseline_rankingbaseline_regressionbaseline_resultsbaseline_summarybayes_comparebayes_detailsbayes_deviancebayes_forestbayes_forest_limitsbayes_mcmcbayes_modelbayes_nodesplitbayes_nodesplit_plotbayes_rankingbayes_resultscovariate_comparecovariate_detailscovariate_deviancecovariate_forestcovariate_mcmccovariate_modelcovariate_rankingcovariate_regressioncovariate_resultscovariate_summarydensity_plotsdic_tableexport_cinemaformat_stepformat_xlimfreq_comparefreq_forestfreq_forest_limitsfreq_inconsistencyfreq_summaryfrequentistgelman_plotsmake_netconnectmetaregression_plotprintVecAsisranking_plotranking_tablerun_metainsightsetup_configuresetup_configure_tablesetup_excludesetup_exclude_plotsetup_loadsetup_upgradesummary_charsummary_networksummary_studysummary_study_limitstrace_plotswrite_plotwriteLog

Dependencies:abindaskpassattemptbackportsbase64encbayesplotBHbibtexbigDbitbit64bitopsbnmabootbriobslibcachemcallrcellrangercheckmateclicliprclockcodacolorspacecommonmarkCompQuadFormcookiescpp11crayoncrosstalkcurldata.tabledatawizarddescdiffobjdigestdistributionaldplyrDTevaluatefarverfastmapfontawesomefontBitstreamVerafontLiberationfontquiverforcatsforeignfsgargoylegdtoolsgemtcgenericsggiraphggiraphExtraggplot2ggrepelggridgesgluegridExtragtgtablehavenhighrhmshtmltoolshtmlwidgetshttpuvhttrigraphinlineinsightisobandjquerylibjsonlitejuicyjuiceknitcitationsknitrlabelinglaterlatticelazyevallifecyclelitedownlme4loolubridatemagicmagickmagrittrmarkdownMASSmathjaxrMatrixmatrixStatsMCMCvismemoisemetametabookmetadatmetaformgcvmimeminqamiraimvtnormmycornanonextnetmetanlmenloptrnumDerivopenssloteloverlappingpatchworkpbapplypillarpkgbuildpkgconfigpkgloadplotlyplyrposteriorppcorpraiseprettyunitsprocessxprogresspromisespspurrrquartoQuickJSRR.methodsS3R.ooR.utilsR6rappdirsrbibutilsRColorBrewerRcppRcppEigenRcppParallelRdpackreactablereactRreadrreadxlRefManageRreformulasrematchreshape2RglpkrintrojsriorjagsrlangrmarkdownrprojrootrstanrstudioapirsvgS7sassscalesshinyshinyalertshinybusyshinyjsshinyWidgetssjlabelledsjmiscslamsourcetoolsStanHeadersstringistringrsvglitesyssystemfontstensorAtestthattextshapingtibbletidyrtidyselecttimechangetinytextruncnormtzdbutf8uuidV8vctrsviridisLitevroomwaldowithrwritexlxfunxml2xtableyaml

An introduction to MetaInsight

Rendered fromMetaInsight.qmdusingquarto::htmlon Jun 16 2026.

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

Readme and manuals

Help Manual

Help pageTopics
_metainsight_: A flexible platform for meta-analysismetainsight-package metainsight
Compare treatment pairsbaseline_compare
Produce deviance plots for baseline risk modelsbaseline_deviance
Produce a forest plot for baseline risk modelsbaseline_forest
Fit a baseline risk regression modelbaseline_model
Baseline regression databaseline_regression
Summarise baseline riskbaseline_summary
Compare treatment pairsbayes_compare covariate_compare
Summarise a Bayesian modelbaseline_details bayes_details covariate_details
Produce deviance plotsbayes_deviance covariate_deviance
Bayesian forest plotbayes_forest covariate_forest
Markov chain Monte Carlo plotsbaseline_mcmc bayes_mcmc covariate_mcmc
Fit a Bayesian modelbayes_model
Fit a Bayesian nodesplitting modelbayes_nodesplit
Bayesian nodesplitting forest plotbayes_nodesplit_plot
Treatment rankingsbaseline_ranking bayes_ranking covariate_ranking
Summarise a Bayesian modelbaseline_results bayes_results covariate_results
Fit a covariate regression modelcovariate_model
Covariate regression datacovariate_regression
Summarise covariate datacovariate_summary
Creates posterior density plots of MCMC samples.density_plots
Create a summary table of deviance information criterion stats for Bayesian modelsdic_table
export_cinemaexport_cinema
Compare treatments for frequentist modelsfreq_compare
Produce a frequentist forest plotfreq_forest
Inconsistency tables for frequentist modelsfreq_inconsistency
Summary forest plot matrixfreq_summary
Creates Gelman plots for a gemtc or bnma model.gelman_plots
Creates network connectivity info displayed under network plotsmake_netconnect
Produce a meta-regression plotmetaregression_plot
Calculate edge.weights for networknetwork_structure
Treatment ranking plotsranking_plot
Ranking probability tableranking_table
Run _"metainsight"_ Applicationrun_metainsight
Configure the analysissetup_configure
Summarise the analysis configurationsetup_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 datasetup_load
Upgrade old data formatssetup_upgrade
Characterise the datasummary_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 filewrite_plot