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metaconfoundr
View on CRAN: Click
here
Download and install metaconfoundr package within the R console
Install from CRAN:
install.packages("metaconfoundr")
Install from Github:
library("remotes")
install_github("cran/metaconfoundr") Install by package version:
library("remotes")
install_version("metaconfoundr", "0.1.2") Attach the package and use:
library("metaconfoundr")
Maintained by
Malcolm Barrett
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-10-12
Latest Update: 2023-01-17
Description:
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.
How to cite:
Malcolm Barrett (2021). metaconfoundr: Visualize 'Confounder' Control in Meta-Analyses. R package version 0.1.2, https://cran.r-project.org/web/packages/metaconfoundr. Accessed 02 Nov. 2026.
Previous versions and publish date:
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Other R packages that metaconfoundr depends,
imports, suggests or enhances
Complete documentation for metaconfoundr
Functions, R codes and Examples using
the metaconfoundr R package
Some associated functions: count_non_confounders . facet_constructs . geom_cochrane . ipi_data . label_robins . launch_metaconfoundr_app . mc_detect_layout . mc_heatmap . metaconfoundr-open-paren-close-paren . metaconfoundr-package . pipe . reexports . scale_fill_cochrane . score_control . summarize_control_quality . theme_mc .
Some associated R codes: data.R . metaconfoundr-package.R . metaconfoundr.R . non-confounders.R . plots.R . shiny_app.R . sort_by.R . summarize_control_quality.R . tidyselect-rexport.R . utils-pipe.R . utils.R . Full metaconfoundr package functions and examples
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