OBsMD-package {OBsMD}R Documentation

Objective Bayesian Model Discrimination in Follow-Up Designs

Description

Implements the objective Bayesian methodology proposed in Consonni and Deldossi in order to choose the optimal experiment that better discriminate between competing models.

Details

Package: OBsMD
Type: Package
Version: 5.0
Date: 2019-03-05
License: GPL version 3 or later

The packages allows you to perform the calculations and analyses described in Consonni and Deldossi paper in TEST (2015), Objective Bayesian model discrimination in follow-up experimental designs.

Author(s)

Author: Laura Deldossi and Marta Nai Ruscone based on Daniel Meyer's code. Maintainer: Marta Nai Ruscone <mnairuscone@liuc.it>

References

Consonni and Deldossi, 2015; Box and Meyer, 1986; Box and Meyer, 1993; Meyer, Steinberg and Box, 1996.

Examples

    data(BM86.data)

[Package OBsMD version 5.0 Index]