Objective Bayesian inference for the intraclass correlation coefficient in linear models

We outline objective Bayesian testing procedure for the intraclass correlation coefficient in linear models. For it, we derive the Bayes factors based on the divergence-based priors, which have unidimensional integral expressions and can thus be easily approximated numerically.