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. G.Consonni, L. Deldossi (2014) Objective Bayesian Model Discrimination in Follow-up Experimental Designs, Test. <DOI:10.1007/s11749-015-0461-3>.

Package details

AuthorMarta Nai Ruscone [aut, cre], Laura Deldossi [aut], Cleve Moler [ctb] (LINPACK routines in src), Jack Dongarra [ctb] (LINPACK routines in src)
MaintainerMarta Nai Ruscone <mnairuscone@liuc.it>
LicenseGPL (>= 2)
Version5.3
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("OBsMD")

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OBsMD documentation built on Jan. 11, 2020, 9:44 a.m.