Package: OBsMD
Title: Objective Bayesian Model Discrimination in Follow-Up Designs
Version: 12.0
Authors@R: c(person("Marta", "Nai Ruscone", role = c("aut", "cre"),
                    email = "marta.nairuscone@unige.it"),
             person("Laura", "Deldossi", role = c("aut")),
             person("Cleve", "Moler", role = "ctb",
	            comment = "LINPACK routines in src"),
	           person("Jack", "Dongarra", role = "ctb",
	            comment = "LINPACK routines in src"))
Description: 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>.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.2.3
NeedsCompilation: yes
Packaged: 2024-08-19 15:21:05 UTC; martanairuscone
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@unige.it>
Repository: CRAN
Date/Publication: 2024-08-19 18:40:14 UTC
Built: R 4.6.0; x86_64-apple-darwin20; 2026-04-26 23:19:07 UTC; unix
Archs: OBsMD.so.dSYM
