MLDS: Maximum Likelihood Difference Scaling in R: Maximum Likelihood Difference Scaling in R

Abstract : The MLDS package in the R programming language (R Development Core Team 2007) can be used to estimate perceptual scales based on the results of psychophysical experiments using the method of difference scaling. In a difference scaling experiment, observers compare two supra-threshold differences (a,b) and (c,d) on each trial. The approach is based on a stochastic model of how the observer decides which perceptual difference (or interval) (a,b) or (c,d) is greater, and the parameters of the model are estimated using a maximum likelihood criterion. We also propose a method to test the model by evaluating the self-consistency of the estimated scale. The package includes an example in which an observer judges the differences in correlation between scatterplots. The example may be readily adapted to estimate perceptual scales for arbitrary physical continua.
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Journal of Statistical Software, University of California, Los Angeles, 2008, 25 (2), pp.1-26
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Contributeur : Kenneth Knoblauch <>
Soumis le : vendredi 26 mars 2010 - 17:46:14
Dernière modification le : vendredi 9 février 2018 - 17:08:01

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Kenneth Knoblauch, Laurence Maloney. MLDS: Maximum Likelihood Difference Scaling in R: Maximum Likelihood Difference Scaling in R. Journal of Statistical Software, University of California, Los Angeles, 2008, 25 (2), pp.1-26. 〈inserm-00252010〉

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