Comparison of R Packages for Automated Test Assembly with Mixed-Integer Linear Programming

Autor/in	Peabody, Michael R.
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 Verfügbarkeit
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) + Suchen Sie Ihr Suchwort? Algorithm; Algorithmus; Heuristik; Mathematical model; Mathematisches Modell; Problemlösen; Test content; Testaufgabe; Itemanalyse; Apotheke
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).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01