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.

Version: 0.1.2
Depends: R (≥ 3.5.0)
Imports: dplyr (≥ 1.0.0), forcats, ggplot2 (≥ 3.4.0), magrittr, purrr, rlang (≥ 0.1.2), shiny, stringr, tibble, tidyr (≥ 1.0.0), tidyselect
Suggests: covr, knitr, metafor, patchwork, readr, rio, rmarkdown, roxygen2, spelling, testthat (≥ 3.0.0), vdiffr
Published: 2023-01-17
DOI: 10.32614/CRAN.package.metaconfoundr
Author: Malcolm Barrett ORCID iD [aut, cre], Julie M. Petersen ORCID iD [aut], Ludovic Trinquart ORCID iD [aut]
Maintainer: Malcolm Barrett <malcolmbarrett at>
License: MIT + file LICENSE
NeedsCompilation: no
Language: en-US
Materials: README NEWS
In views: MetaAnalysis
CRAN checks: metaconfoundr results


Reference manual: metaconfoundr.pdf
Vignettes: An Introduction to metaconfoundr


Package source: metaconfoundr_0.1.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): metaconfoundr_0.1.2.tgz, r-oldrel (arm64): metaconfoundr_0.1.2.tgz, r-release (x86_64): metaconfoundr_0.1.2.tgz, r-oldrel (x86_64): metaconfoundr_0.1.2.tgz
Old sources: metaconfoundr archive


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