Welcome on the informative hypotheses website.

Informative Hypotheses are hypotheses constructed using (in)equality constraints among the parameters of interest. A simple example is three ordered means, Hi: μ1 > μ2 > μ3. Informative hypotheses can be evaluated using Bayes factor and Posterior Model Probabilities as implemented in the R package bain (see sidebar) or using the GORIC(A) and GORIC(A) weights as implemented in the R package restrictor (see sidebar).