metaConvert: An Automatic Suite for Estimation of Various Effect Size Measures

Automatically estimate 11 effect size measures from a well-formatted dataset. Various other functions can help, for example, removing dependency between several effect sizes, or identifying differences between two datasets. This package is mainly designed to assist in conducting a systematic review with a meta-analysis but can be useful to any researcher interested in estimating an effect size.

Version: 1.0.0
Depends: R (≥ 3.5.0)
Imports: compareDF, metafor, estimraw, mvtnorm, numDeriv, rio, utils
Suggests: testthat (≥ 3.0.0), metaumbrella, TOSTER, esc, epiR, compute.es, meta, effectsize, MetaUtility, knitr, DT, rmarkdown
Published: 2024-02-29
Author: Corentin J. Gosling [aut, cre], Samuele Cortese [aut], Marco Solmi [aut], Belen Haza [aut], Eduard Vieta [aut], Richard Delorme [aut], Paolo Fusar-Poli [aut], Joaquim Radua [aut]
Maintainer: Corentin J. Gosling <corentin.gosling at parisnanterre.fr>
License: GPL (≥ 3)
NeedsCompilation: no
Citation: metaConvert citation info
Materials: README
CRAN checks: metaConvert results

Documentation:

Reference manual: metaConvert.pdf
Vignettes: Vignette 1. General guidance about metaConvert

Downloads:

Package source: metaConvert_1.0.0.tar.gz
Windows binaries: r-devel: metaConvert_1.0.0.zip, r-release: metaConvert_1.0.0.zip, r-oldrel: metaConvert_1.0.0.zip
macOS binaries: r-release (arm64): metaConvert_1.0.0.tgz, r-oldrel (arm64): metaConvert_1.0.0.tgz, r-release (x86_64): metaConvert_1.0.0.tgz

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