Assessment & Research

<i>shinybeez</i> : A Shiny app for behavioral economic easy demand and discounting

Kaplan et al. (2025) · Journal of the Experimental Analysis of Behavior 2025
★ The Verdict

shinybeez is a free, one-click web app that turns your demand or discounting data into clean curves and stats.

✓ Read this if BCBAs running behavioral economic assessments in clinics or labs
✗ Skip if Practitioners who only record discrete trial counts and never plot demand curves

01Research in Context

01

What this study did

Kaplan et al. (2025) built shinybeez, a free web app. You open it in your browser. No install, no code.

The app runs demand and discounting analyses. You paste your data. It graphs curves and gives numbers.

02

What they found

The paper shows how the app works, not new client data. It turns raw numbers into clean figures and stats in seconds.

03

How this fits with other research

Blair et al. (2022) and Manolov (2018) also give free web tools. Blair helps you graph single-case data in Google apps. Rumen gives a site for trend lines. All three skip pricey software.

Manolov (2026) lists more no-install sites for general single-case tests. shinybeez narrows the focus to behavioral economics, so the tools complement, not compete.

Grekov et al. (2026) teach Bayesian model checks with click-through code. shinybeez stays frequentist and point-and-click. Together they cover both stats worlds without costing a dime.

04

Why it matters

If you study reinforcer value or delay discounting, shinybeez saves hours. No coding, no Excel hacks. You can test how hard a client will work for tokens or how they choose now vs. later. Try uploading last week's demand data during your next prep period and leave with a publish-ready graph.

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Open shinybeez, paste last session's demand data, screenshot the curve for the treatment team

02At a glance

Intervention
not applicable
Design
methodology paper
Finding
not reported

03Original abstract

This article introduces shinybeez, a free and open-source web application designed to streamline behavioral economic analyses of demand and discounting data. Although quantitative modeling of behavioral economic phenomena has increased in popularity and led to translational successes in clinical practice and policy, complex analyses have remained a barrier for many researchers and practitioners. The shinybeez application addresses this gap by providing an intuitive interface for conducting descriptive and inferential analyses without requiring programming expertise. The app integrates features previously scattered across multiple tools, allowing users to upload data, calculate empirical measures, identify systematic data sets, fit nonlinear models, and visualize results-all within a single platform. The shinybeez application supports various types of analysis for demand and discounting data, including indifference point data and the 27-Item Monetary Choice Questionnaire. Built on R Shiny and leveraging existing R packages, the app ensures reproducibility and consistency with underlying analytical methods while remaining flexible for future enhancements. The advantages of shinybeez include its accessibility through web browsers or local installation, ability to handle large data sets, and customizable data visualization options. By consolidating behavioral economic tools into a user-friendly interface, shinybeez is intended to broaden the reach of these analytical techniques and facilitate their application in addressing societal issues.

Journal of the Experimental Analysis of Behavior, 2025 · doi:10.1002/jeab.70000