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>.

Install the latest version of this package by entering the following in R:
install.packages("OBsMD")
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

View on CRAN

Files

src
src/obsmd.f
src/init.c
NAMESPACE
data
data/OBsMD.es5.rda
data/Reactor.data.rda
data/BM86.data.rda
data/BM93.e1.data.rda
data/BM93.e2.data.rda
data/BM93.e3.data.rda
data/MetalCutting.rda
data/PB12Des.rda
R
R/summary.OMD.R R/plot.OBsProb.r R/OBsProb.r R/print.OBsProb.r R/print.OMD.R R/OMD.R R/summary.OBsProb.R
MD5
DESCRIPTION
man
man/summary.OMD.Rd man/print.OMD.Rd man/print.OBsProb.Rd
man/MetalCutting.rd
man/summary.OBsProb.Rd man/OBsMD.es5.Rd man/OBsMD-internal.Rd man/OMD.Rd man/PB12Des.Rd man/BM86.data.Rd
man/BM93.e1.data.rd
man/OBsProb.rd
man/Reactor.data.Rd man/BM93.e2.data.Rd man/BM93.e3.data.Rd man/OBsMD-package.Rd man/plot.OBsProb.Rd

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.