OBsMD: Objective Bayesian Model Discrimination in Follow-Up Designs
Version 0.2-0.00

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. .

Package details

AuthorLaura Deldossi and Marta Nai Ruscone based on Daniel Meyer's code (2016)
Date of publication2017-04-12 22:43:46 UTC
MaintainerMarta Nai Ruscone <mnairuscone@liuc.it>
LicenseGPL (>= 2)
Version0.2-0.00
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 May 30, 2017, 4:48 a.m.