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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: | 11.1 |
| Published: | 2023-11-14 |
| 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 |
| Reference manual: | OBsMD.pdf |
| Package source: | OBsMD_11.1.tar.gz |
| Windows binaries: | r-devel: OBsMD_11.1.zip, r-release: OBsMD_11.1.zip, r-oldrel: OBsMD_11.1.zip |
| macOS binaries: | r-release (arm64): OBsMD_11.1.tgz, r-oldrel (arm64): OBsMD_11.1.tgz, r-release (x86_64): OBsMD_11.1.tgz, r-oldrel (x86_64): OBsMD_11.1.tgz |
| Old sources: | OBsMD archive |
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