R: Objective Bayesian Model Discrimination in Follow-Up Designs

# Objective Bayesian Model Discrimination in Follow-Up Designs

## Documentation for package ‘OBsMD’ version 12.0

- DESCRIPTION file

## Help Pages

OBsMD-package | Objective Bayesian Model Discrimination in Follow-Up Designs
BM86.data | Data sets in Box and Meyer (1986)
BM93.e1.data | Example 1 data in Box and Meyer (1993)
BM93.e2.data | Example 2 data in Box and Meyer (1993)
BM93.e3.data | Example 3 data in Box and Meyer (1993)
combinations | Enumerate the Combinations of the Elements of a Vector
MetalCutting | Data sets in Edwards, Weese and Palmer (2014)
OBsMD | Objective Bayesian Model Discrimination in Follow-Up Designs
OBsMD.es5 | OBsMD.es5
OBsProb | Objective Posterior Probabilities from Bayesian Screening Experiments
OMD | Objective Model Discrimination (OMD) in Follow-Up Experiments
PB12Des | 12-run Plackett-Burman Design Matrix
plot.OBsProb | Plotting of Posterior Probabilities from Objective Bayesian Design
print.OBsProb | Printing Objective Posterior Probabilities from Bayesian Design
print.OMD | Print Optimal OMD Follow-Up Experiments
Reactor.data | Reactor Experiment Data
summary.OBsProb | Summary of Posterior Probabilities from Objective Bayesian Design
summary.OMD | Summary of Optimal OMD Follow-Up Experiments