Implements the objective Bayesian methodology proposed in Consonni and Deldossi in order to choose the optimal experiment that better discriminate between competing models. G.Consonni, L. Deldossi (2014) Objective Bayesian Model Discrimination in Follow-up Experimental Designs, Test. <doi:10.1007/s11749-015-0461-3>.
| Version: | 0.2-0.00 |
| Depends: | R (≥ 2.14.0) |
| Imports: | Rcpp |
| LinkingTo: | Rcpp |
| Published: | 2017-04-12 |
| Author: | Laura Deldossi and Marta Nai Ruscone based on Daniel Meyer's code (2016) |
| 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_0.2-0.00.tar.gz |
| Windows binaries: | r-devel: OBsMD_0.2-0.00.zip, r-release: OBsMD_0.2-0.00.zip, r-oldrel: OBsMD_0.2-0.00.zip |
| OS X El Capitan binaries: | r-release: OBsMD_0.2-0.00.tgz |
| OS X Mavericks binaries: | r-oldrel: OBsMD_0.2-0.00.tgz |
| Old sources: | OBsMD archive |
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