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Updated: Oct 11, 2025

Constructing and Visualizing Models using Mime-based Machine-learning Framework
Published on: July 22, 2025
The lrd package: An R package and Shiny application for processing lexical data
Nicholas P Maxwell1, Mark J Huff2, Erin M Buchanan3
1The University of Southern Mississippi, School of Psychology, 118 College Dr, Hattiesburg, MS, 39406, USA. nicholas.maxwell@usm.edu.
Abstract:
Recall testing is a common assessment to gauge memory retrieval. Responses from these tests can be analyzed in several ways; however, the output generated from a recall study typically requires manual coding that can be time intensive and error-prone before analyses can be conducted. To address this issue, this article introduces lrd (Lexical Response Data), a set of open-source tools for quickly and accurately processing lexical response data that can be used either from the R command line or through an R Shiny graphical user interface. First, we provide an overview of this package and include a step-by-step user guide for processing both cued- and free-recall responses. For validation of lrd, we used lrd to recode output from cued, free, and sentence-recall studies with large samples and examined whether the results replicated using lrd-scored data. We then assessed the inter-rater reliability and sensitivity and specificity of the scoring algorithm relative to human-coded data. Overall, lrd is highly reliable and shows excellent sensitivity and specificity, indicating that recall data processed using this package are remarkably consistent with data processed by a human coder.
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