OptiPt 1.0

Date Added: August 01, 2013 | Visits: 203

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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 estimatesReference: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: http://homepages.uni-tuebingen.de/florian.wickelmaier/

Requirements: No special requirements

Platforms: Matlab

Keyword: Covariance, Estimates, Estimation, Goodness, Matlab, Matrix, Parameter, Reference, Schmid, Wickelmaier

Users rating: 0/10

License: Shareware

Size: 10 KB

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