A Matlab function to estimate choice model parameters from paired-comparison data

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Authors Florian Wickelmaier, Christian Schmid
Journal/Conference Name Behavior research methods, instruments…
Paper Category
Paper Abstract Tversky (1972) has proposed a family of models for paired-comparison data that generalize the Bradley—Terry—Luce (BTL) model and can, therefore, apply to a diversity of situations in which the BTL model is doomed to fail. In this article, we present a Matlab function that makes it easy to specify any of these general models (EBA, Pretree, or BTL) and to estimate their parameters. The program eliminates the time-consuming task of constructing the likelihood function by hand for every single model. The usage of the program is illustratedby several examples. Features of the algorithm are outlined. The purpose of this article is to facilitate the use of probabilistic choice models in the analysis of data resulting from paired comparisons.
Date of publication 2004
Code Programming Language R
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