Factors models are commonly used to analyze high-dimensional data in both single-study and multi-study settings. Bayesian inference for such models relies on Markov chain Monte Carlo (MCMC) methods, w
Factors models are commonly used to analyze high-dimensional data in both single-study and multi-study settings. Bayesian inference for such models relies on Markov chain Monte Carlo (MCMC) methods, w
Note. The Bayes Factor is relative to the null model, including only random intercepts for subjects and words. A Bayes Factor >1 indicates evidence for the null model.
The ZIP file contains all necessary Matlab code, data and guide for reproducing the results from Davis-Stober, McCarthy, Cavagnaro, Price, Brown, and Park (submitted). The pdf file contains the
