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: |
6.1 |
| Published: |
2020-06-25 |
| 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 |
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