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>.

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 <marta.nairuscone@unige.it>
LicenseGPL (>= 2)
Version6.1
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("OBsMD")

Try the OBsMD package in your browser

Any scripts or data that you put into this service are public.

OBsMD documentation built on July 1, 2020, 10:22 p.m.