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: |
0.1.1 |
| Depends: |
R (≥ 3.5.0) |
| Imports: |
dplyr (≥ 1.0.0), forcats, ggplot2 (≥ 3.3.1), 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: |
2022-08-06 |
| 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:
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