Package: metaconfoundr 0.1.2.9000

metaconfoundr: Visualize 'Confounder' Control in Meta-Analyses

Visualize 'confounder' control in meta-analysis. 'metaconfoundr' is an approach to evaluating bias in studies used in meta-analyses based on the causal inference framework. Study groups create a causal diagram displaying their assumptions about the scientific question. From this, they develop a list of important 'confounders'. Then, they evaluate whether studies controlled for these variables well. 'metaconfoundr' is a toolkit to facilitate this process and visualize the results as heat maps, traffic light plots, and more.

Authors:Malcolm Barrett [aut, cre], Julie M. Petersen [aut], Ludovic Trinquart [aut]

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metaconfoundr.pdf |metaconfoundr.html
metaconfoundr/json (API)
NEWS

# Install 'metaconfoundr' in R:
install.packages('metaconfoundr', repos = c('https://malcolmbarrett.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/malcolmbarrett/metaconfoundr/issues

Datasets:

On CRAN:

28 exports 11 stars 1.65 score 60 dependencies 9 scripts 316 downloads

Last updated 2 years agofrom:3af7bc98a7. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 08 2024
R-4.5-winOKSep 08 2024
R-4.5-linuxOKSep 08 2024
R-4.4-winOKSep 08 2024
R-4.4-macOKSep 08 2024
R-4.3-winOKSep 08 2024
R-4.3-macOKSep 08 2024

Exports:%>%containscount_non_confoundersends_witheverythingfacet_constructsgeom_cochranelabel_robinslast_collaunch_metaconfoundr_appmatchesmc_detect_layoutmc_heatmapmc_longermc_study_valuesmc_trafficlightmc_widermetaconfoundrnum_rangeone_ofplot_non_confoundersscale_color_cochranescale_fill_cochranescale_shape_cochranescore_controlstarts_withsummarize_control_qualitytheme_mc

Dependencies:base64encbslibcachemclicolorspacecommonmarkcpp11crayondigestdplyrfansifarverfastmapfontawesomeforcatsfsgenericsggplot2gluegtablehtmltoolshttpuvisobandjquerylibjsonlitelabelinglaterlatticelifecyclemagrittrMASSMatrixmemoisemgcvmimemunsellnlmepillarpkgconfigpromisespurrrR6rappdirsRColorBrewerRcpprlangsassscalesshinysourcetoolsstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithrxtable

An Introduction to metaconfoundr

Rendered fromintro-to-metaconfoundr.Rmdusingknitr::rmarkdownon Sep 08 2024.

Last update: 2021-10-03
Started: 2020-06-25

Readme and manuals

Help Manual

Help pageTopics
Count and plot non-confounderscount_non_confounders plot_non_confounders
Facet by constructsfacet_constructs
Add Cochrane-style symbols to heatmaps and traffic light plotsgeom_cochrane
IPI dataipi ipi_data ipi_metaanalysis ipi_wide
Label values using ROBINS approachlabel_robins
Launch metaconfoundr Shiny applaunch_metaconfoundr_app
Tidy metaconfoundr data layoutsmc_detect_layout mc_longer mc_study_values mc_wider
Plot a heatmap or traffic light plot of 'metaconfoundr()' summariesmc_heatmap mc_trafficlight
Prepare a meta-analysis data set for metaconfoundrmetaconfoundr metaconfoundr()
Add Cochrane-style palettes to ggplotsscale_color_cochrane scale_fill_cochrane scale_shape_cochrane
Add a score of confounding controlscore_control
Summarize the control quality of studiessummarize_control_quality
A minimal theme for metaconfoundr plotstheme_mc