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 [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 + fileLICENSE |
| URL: | https://github.com/malcolmbarrett/metaconfoundr |
| NeedsCompilation: | no |
| Language: | en-US |
| Materials: | README,NEWS |
| In views: | MetaAnalysis |
| CRAN checks: | metaconfoundr results |
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