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, see Deldossi and Nai Ruscone (2020) <doi:10.18637/jss.v094.i02>.

Version:	12.0
Published:	2024-08-19
DOI:	10.32614/CRAN.package.OBsMD
Author:	Marta Nai Ruscone [aut, cre], Laura Deldossi [aut], Cleve Moler [ctb] (LINPACK routines in src), Jack Dongarra [ctb] (LINPACK routines in src)
Maintainer:	Marta Nai Ruscone <marta.nairuscone at unige.it>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:	yes
Citation:	OBsMD citation info
In views:	ExperimentalDesign
CRAN checks:	OBsMD results

Documentation:

Reference manual:

OBsMD.pdf

Downloads:

Package source:	OBsMD_12.0.tar.gz
Windows binaries:	r-devel: OBsMD_12.0.zip, r-release: OBsMD_12.0.zip, r-oldrel: OBsMD_12.0.zip
macOS binaries:	r-release (arm64): OBsMD_12.0.tgz, r-oldrel (arm64): OBsMD_12.0.tgz, r-release (x86_64): OBsMD_12.0.tgz, r-oldrel (x86_64): OBsMD_12.0.tgz
Old sources:	OBsMD archive

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