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version (2.51 KB) by Florian Wickelmaier
Fitting and testing of probabilistic choice models.


Updated 10 May 2019

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OptiPt is a function for fitting and testing (multi-attribute) probabilistic choice models, especially the Bradley-Terry-Luce (BTL) model (Bradley & Terry, 1952; Luce, 1959), elimination-by-aspects (EBA) models (Tversky, 1972), and preference tree (Pretree) models (Tversky & Sattath, 1979).
Features of OptiPt are:
-- easy model specification
-- high-precision parameter estimation
-- goodness of fit test
-- covariance matrix of the parameter estimates
Wickelmaier, F. & Schmid, C. (2004). A MATLAB function to estimate choice model parameters from paired-comparison data. Behavior Research Methods, Instruments, and Computers, 36(1), 29-40.
See also:

Cite As

Florian Wickelmaier (2021). OptiPt (, MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2019a
Compatible with any release
Platform Compatibility
Windows macOS Linux

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