Package: metaconfoundr
Title: Visualize 'Confounder' Control in Meta-Analyses
Version: 0.1.2
Authors@R: c(
    person("Malcolm", "Barrett", , "malcolmbarrett@gmail.com", role = c("aut", "cre"),
           comment = c(ORCID = "0000-0003-0299-5825")),
    person("Julie M.", "Petersen", , "juliemo@bu.edu", role = "aut",
           comment = c(ORCID = "0000-0001-7845-4545")),
    person("Ludovic", "Trinquart", , "ludovic@bu.edu", role = "aut",
           comment = c(ORCID = "0000-0002-3028-4900"))
  )
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.
License: MIT + file LICENSE
URL: https://github.com/malcolmbarrett/metaconfoundr
BugReports: https://github.com/malcolmbarrett/metaconfoundr/issues
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
VignetteBuilder: knitr
Config/testthat/edition: 3
Encoding: UTF-8
Language: en-US
LazyData: true
RoxygenNote: 7.1.2
NeedsCompilation: no
Packaged: 2023-01-17 18:42:07 UTC; malcolmbarrett
Author: Malcolm Barrett [aut, cre] (<https://orcid.org/0000-0003-0299-5825>),
  Julie M. Petersen [aut] (<https://orcid.org/0000-0001-7845-4545>),
  Ludovic Trinquart [aut] (<https://orcid.org/0000-0002-3028-4900>)
Maintainer: Malcolm Barrett <malcolmbarrett@gmail.com>
Repository: CRAN
Date/Publication: 2023-01-17 19:00:09 UTC
Built: R 4.7.0; ; 2026-04-26 04:43:18 UTC; windows
