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 [aut, cre], Julie M. Petersen [aut], Ludovic Trinquart [aut] Maintainer: Malcolm Barrett <malcolmbarrett at gmail.com> BugReports: https://github.com/malcolmbarrett/metaconfoundr/issues License: MIT + file LICENSE URL: https://github.com/malcolmbarrett/metaconfoundr NeedsCompilation: no Language: en-US Materials: README, NEWS In views: MetaAnalysis CRAN checks: metaconfoundr results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=metaconfoundr to link to this page.
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