OBsMD: Objective Bayesian Model Discrimination in Follow-Up Designs

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

Version: 0.1-0.4
Depends: R (≥ 3.02.02)
Published: 2015-09-16
Author: Marta Nai Ruscone based on Laura Deldossi's code.
Maintainer: Marta Nai Ruscone <mnairuscone at liuc.it>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
In views: ExperimentalDesign
CRAN checks: OBsMD results


Reference manual: OBsMD.pdf
Package source: OBsMD_0.1-0.4.tar.gz
Windows binaries: r-devel: OBsMD_0.1-0.4.zip, r-release: OBsMD_0.1-0.4.zip, r-oldrel: OBsMD_0.1-0.4.zip
OS X Mavericks binaries: r-release: OBsMD_0.1-0.4.tgz, r-oldrel: OBsMD_0.1-0.4.tgz


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