Literaturnachweis - Detailanzeige
Autor/in | Peabody, Michael R. |
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Titel | Comparison of R Packages for Automated Test Assembly with Mixed-Integer Linear Programming |
Quelle | In: Measurement: Interdisciplinary Research and Perspectives, 21 (2023) 1, S.55-61 (7 Seiten)Infoseite zur Zeitschrift
PDF als Volltext |
Zusatzinformation | ORCID (Peabody, Michael R.) |
Sprache | englisch |
Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
ISSN | 1536-6367 |
DOI | 10.1080/15366367.2022.2151081 |
Schlagwörter | Programming Languages; Algorithms; Heuristics; Mathematical Models; Problem Solving; Comparative Analysis; Computer Software; Open Source Technology; Usability; Test Items; Item Analysis; Pharmacy; Licensing Examinations (Professions) |
Abstract | Many organizations utilize some form of automation in the test assembly process; either fully algorithmic or heuristically constructed. However, one issue with heuristic models is that when the test assembly problem changes the entire model may need to be re-conceptualized and recoded. In contrast, mixed-integer programming (MIP) is a mathematical representation of the test assembly problem that looks for the statistically optimal solution. Because MIP is a mathematical representation, changes to the test assembly problem typically involve only minor changes to the programming. This review focuses on comparing two free and open-source R packages for mixed integer linear programming: inlinelpSolveAPI and inlineompr. Programming style (with code provided), ease of use, run time, and other considerations will be examined. Solvers from other open-source platforms (e.g. Python, Julia) will also be discussed. Code and sample data are also provided. (As Provided). |
Anmerkungen | Routledge. Available from: Taylor & Francis, Ltd. 530 Walnut Street Suite 850, Philadelphia, PA 19106. Tel: 800-354-1420; Tel: 215-625-8900; Fax: 215-207-0050; Web site: http://www.tandf.co.uk/journals |
Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
Update | 2024/1/01 |