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If you are not familiar with R, you can access the core features of this package on your web browser on its dedicated website (https://metaConvert.org/).
This package automatically estimates 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.
You can install the released version of metaConvert from CRAN with:
The metaConvert package was written by Corentin J Gosling, Samuele Cortese, Marco Solmi, Belen Haza, Eduard Vieta, Richard Delorme, Paolo Fusar-Poli and Joaquim Radua. It is licensed under the GNU General Public License.
You can use metaConvert for free… but please cite our work ;-)
Citation: Gosling CJ, Cortese S, Solmi M, Haza B, Vieta E, Delorme R, Fusar-Poli P, & Radua J. (2024). metaConvert: An Automatic Suite for Estimation of 11 Different Effect Size Measures and Flexible Conversion Across Them. R package version 1.0.0. https://metaConvert.org/
To obtain a bibtex version of this citation in R, type
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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