Title: BayesGCM: Software for Bayesian inference with the generalized context model
Authors: Vanpaemel, Wolf # ×
Issue Date: Nov-2009
Publisher: Psychonomic Society
Series Title: Behavior Research Methods vol:41 issue:4 pages:1111-1120
Abstract: This article describes and demonstrates the BayesGCM software package. The software is designed to perform Bayesian analysis with the generalized context model (GCM). It is intended to make the GCM easily accessible to a general public of experimental, social, and clinical psychologists interested in category learning, sensitivity, and attention. The software uses MATLAB and relies on WinBUGS to draw samples from the posterior distribution of the GCM's parameters. The returned output comprises the full set of posterior samples, summary descriptive statistics, and graphs of the posterior distribution for each parameter of interest.
ISSN: 1554-351X
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Laboratory for Experimental Psychology
× corresponding author
# (joint) last author

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