Objective Bayesian Model Discrimination in Follow-Up Designs
Objective Model Discrimination (OMD) in Follow-Up Experiments
Example 1 data in Box and Meyer (1993)
Enumerate the Combinations of the Elements of a Vector
Data sets in Edwards, Weese and Palmer (2014)
Internal OBsMD objects
Objective Bayesian Model Discrimination in Follow-Up Designs
Objective Posterior Probabilities from Bayesian Screening Experiments
Plotting of Posterior Probabilities from Objective Bayesian Design
Printing Objective Posterior Probabilities from Bayesian Design
Print Optimal OMD Follow-Up Experiments
Summary of Posterior Probabilities from Objective Bayesian Design
Summary of Optimal OMD Follow-Up Experiments
Implements the objective Bayesian methodology proposed in Consonni and Deldossi in order to choose the optimal experiment that better discriminate between competing models, see Deldossi and Nai Ruscone (2020) <doi:10.18637/jss.v094.i02>.