YEAB: YEAB Ease the analysis of behavior.

Authors

Emmanuel Alcalá, Pablo Saavedra, Frida García-Rangel, Rodrigo Sosa, Víctor Reyes, Jonathan Buriticá

Published in

Behavior research methods. Volume 57. Issue 7. Pages 199. Jun 16, 2025. Epub Jun 16, 2025.

Abstract

In recent years, with the advent of open-source programming languages such as R and Python, there has been a resurgence of the DIY spirit in the experimental analysis of behavior and, more broadly, in experimental psychology. This paper introduces YEAB, an R package that streamlines the processing and analysis of data from numerous common behavioral paradigms. Key features include automated extraction of raw data from MED-PC output files, flexible modeling of interresponse times (including mixture-exponential approaches), single-trial analysis for fixed-interval and peak procedures, and model fitting of delay discounting data in intertemporal choice tasks. By consolidating core functions into one accessible package, YEAB empowers researchers to efficiently handle multi-level data structures, promote reproducible workflows, and expand the scope of behavioral experimentation. Collectively, these functionalities facilitate robust, transparent analyses, fostering open-science practices and supporting innovative exploration in EAB and related fields.

PMID:
40524008
Bibliographic data and abstract were imported from PubMed on 17 Jun 2025.

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