Visualize 'Confounder' Control in Meta-Analyses R package metaconfoundr version 0.1.2 CRAN Task View: MetaAnalysis (https://CRAN.R-project.org/view=MetaAnalysis) 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. Software 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 Malcolm Barrett <malcolmbarrett@gmail.com> Comprehensive R Archive Network (CRAN) Malcolm Barrett [aut, cre] (ORCID: <https://orcid.org/0000-0003-0299-5825>), Julie M. Petersen [aut] (ORCID: <https://orcid.org/0000-0001-7845-4545>), Ludovic Trinquart [aut] (ORCID: <https://orcid.org/0000-0002-3028-4900>) MIT + file LICENSE (https://CRAN.R-project.org/package=metaconfoundr/LICENSE) 2023-01-17 application/tgz https://CRAN.R-project.org/package=metaconfoundr doi:10.32614/CRAN.package.metaconfoundr en-US