dplyr, metacore (>= 0.0.4), purrr, rlang, stringr, tidyr,
tibble, magrittr
testthat (>= 3.0.0), haven, covr, safetyData, admiral.test

Corentin J Gosling [aut, cre],
Aleix Solanes [aut],
Paolo Fusar-Poli [aut],
Joaquim Radua [aut]
c(person("Corentin J", "Gosling", email = "cgosling@parisnanterre.fr", role = c("aut", "cre")),
person("Aleix", "Solanes", email = "al.solanes@gmail.com", role = c("aut")),
person("Paolo", "Fusar-Poli", email = "Paolo.fusar-poli@kcl.ac.uk", role = c("aut")),
person("Joaquim", "Radua", email = "radua@clinic.cat", role = c("aut")))
A comprehensive range of facilities to perform umbrella reviews with stratification of the evidence in R.
The package accomplishes this aim by building on three core functions that: (i) automatically perform all required calculations (including but not limited to meta-analyses), (ii) stratify evidence according to various criteria, and (iii) generate a visual representation of the results.
Note that if you are not familiar with R, the core features of this package are available from a web browser (<https://www.metaumbrella.org/>).
meta, powerSurvEpi, readxl, tcltk, withr, writexl, xtable
rmarkdown, knitr, testthat (>= 3.0.0), spelling, DT, epiR,
esc, pwr, metafor

A comprehensive range of facilities to perform umbrella reviews with stratification of the evidence in R. The package accomplishes this aim by building on three core functions that: (i) automatically perform all required calculations in an umbrella review (including but not limited to meta-analyses), (ii) stratify evidence according to various classification criteria, and (iii) generate a visual representation of the results. Note that if you are not familiar with R, the core features of this package are available from a web browser (<https://www.metaumbrella.org/>).

meta, pwr, powerSurvEpi, readxl, tcltk, withr, writexl, xtable
rmarkdown, knitr, testthat (>= 3.0.0), spelling, DT, epiR,
esc, metafor

Variance-Covariance Matrix for Multivariate Meta-Analysis
Compute variance-covariance matrix for multivariate meta-analysis. Effect sizes include correlation (r), mean difference (MD), standardized mean difference (SMD), log odds ratio (logOR), log risk ratio (logRR), and risk difference (RD).