Discounter|教育線上App不用買-HotApp4Game

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Discounter is an application that performs analyses necessary in Delay Discounting research. This application is an open-source project developed in the hope that this type of methodology becomes more accessible to researchers, faculty, and students in the behavioral sciences. This application will determine discounting constants (k/s/etc.) and the area under the curve (AUC).

This application expands current research methods, providing a much more robust analysis of the AUC. In many applications of delayed discounting, the area under the curve was calculated using as few as several intervals using the trapezoid method. This application provides a simple interface which performs up to thousands of intervals. R2/VAC and other statistical analyses are also included with each model as well.

In order to use this application, you should prepare 1) your maximum value (big V), 2) the total number of values/delays you'll be entering (n), 3) your already derived indifference points (subjective values), and 4) your delay points (1 day = 1, 1 month = 30, 2 months = 60, and so on). After you have those values, enter them into the calculator. When the calculator is filled, it will prompt your to cook up those numbers. The application will then perform non-linear least squares regressions constrained to a hyperbolic function to determine k and a visual display of how our k-curve fits the points supplied.

This calculator provides the only two estimates of AUC (for now). The first method is performed exactly as developed by Myerson et al., 1997. In addition to this calculation, Discounter will perform expanded analyses through numerical integration. This calculation (Gilroy-Hantula AUC) provides an easily accessible way to optimally determine the area underneath of a discounting curve in ways that were previously unavailable.

For those of you who have feedback, feel free to email at the link below. For those of you who can offer stylistic or other programmatic features, feel free to fork the source or commit additional features.