General recognition theory of categorization: a MATLAB toolbox.
General recognition theory (GRT) is both a theory of categorization and a framework for studying human categorization behavior. The GRT toolbox is a set of MATLAB scripts and subroutines that can help an experimenter design categorization experiments, generate stimuli for these experiments, simulate a participant's responses, analyze categorization data, and graph results. The typical user designs experiments for two-category tasks in which the categories are specified by multivariate normal distributions. The toolbox also provides tools for fitting the general linear classifier and the general quadratic classifier to a data set.
Alfonso-Reese
Leola A
LA
Department of Psychology, San Diego State University, 5500 Campanile Drive, San Diego, CA 92182-4611, USA. leola@alum.mit.edu
D006801:Humans; D008960:Models, Psychological; D011584:Psychology / Q000379:methods* / Q000706:statistics & numerical data*; D021641:Recognition, Psychology; D012984:Software