OptiPt

Versión 1.2.0.1 (2,51 KB) por Florian Wickelmaier
Fitting and testing of probabilistic choice models.
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Actualizado 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
Reference:
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. https://doi.org/10.3758/BF03195547
See also: http://www.mathpsy.uni-tuebingen.de/wickelmaier/

Citar como

Florian Wickelmaier (2024). OptiPt (https://www.mathworks.com/matlabcentral/fileexchange/4862-optipt), MATLAB Central File Exchange. Recuperado .

Compatibilidad con la versión de MATLAB
Se creó con R2019a
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Versión Publicado Notas de la versión
1.2.0.1

New web address, DOI
1.2.0.0

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1.1.0.0

Added reference for function that computes Hessian.
1.0.0.0

Web address has changed