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Description

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.

metaConvert

Important

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/).

Introduction

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.

Installation

You can install the released version of metaConvert from CRAN with:

install.packages("metaConvert")

Citation

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/></em><br To obtain a bibtex version of this citation in R, type

citation(package = "metaConvert")
Metadata

Version

1.0.0

License

Unknown

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