Metric Predicted Variable with Multiple Nominal Predictors
19.1 Bayesian Multifactor ANOVA
19.1.1 Interaction of Nominal Predictors
19.1.2 The Hierarchical Prior
19.1.3 An Example in R and BUGS
19.1.4 Interpreting the Posterior
19.1.5 Noncrossover Interactions, Rescaling, and Homogeneous Variances
19.2 Repeated Measures, a.k.a. Within-Subject Designs
19.2.1 Why Use a Within-Subject Design? And Why Not?
19.3 R Code
19.3.1 Bayesian Two-Factor ANOVA
Sometimes I wonder just how it could be, that
Factors aligned so you’d end up with me.
All of the priors made everyone think, that
Our interaction was destined to shrink.
In this chapter we consider situations with a metric predicted variable and multiple nominal predictor ...