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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:
install.packages("metaConvert")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
citation(package = "metaConvert")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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