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. .

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

Getting started

Package overview

Popular man pages

BM86.data: Data sets in Box and Meyer (1986)
OBsMD.es5: OBsMD.es5
OBsMD-internal: Internal OBsMD objects
OBsMD-package: Objective Bayesian Model Discrimination in Follow-Up Designs
OMD: Objective Model Discrimination (OMD) in Follow-Up Experiments
Reactor.data: Reactor Experiment Data
summary.OBsProb: Summary of Posterior Probabilities from Objective Bayesian...
See all...

All man pages Function index File listing

Man pages

BM86.data: Data sets in Box and Meyer (1986)
BM93.e1.data: Example 1 data in Box and Meyer (1993)
BM93.e2.data: Example 2 data in Box and Meyer (1993)
BM93.e3.data: Example 3 data in Box and Meyer (1993)
MetalCutting: Data sets in Edwards, Weese and Palmer(2014)
OBsMD.es5: OBsMD.es5
OBsMD-internal: Internal OBsMD objects
OBsMD-package: Objective Bayesian Model Discrimination in Follow-Up Designs
OBsProb: Objective Posterior Probabilities from Bayesian Screening...
OMD: Objective Model Discrimination (OMD) in Follow-Up Experiments
PB12Des: 12-run Plackett-Burman Design Matrix
plot.OBsProb: Plotting of Posterior Probabilities from Objective Bayesian...
print.OBsProb: Printing Objective Posterior Probabilities from Bayesian...
print.OMD: Print Optimal OMD Follow-Up Experiments
Reactor.data: Reactor Experiment Data
summary.OBsProb: Summary of Posterior Probabilities from Objective Bayesian...
summary.OMD: Summary of Optimal OMD Follow-Up Experiments

Functions

.First.lib Man page
BM86.data Man page
BM93.e1.data Man page
BM93.e2.data Man page
BM93.e3.data Man page
MetalCutting Man page
OBsMD Man page
OBsMD-package Man page
OBsMD.es5 Man page
OBsProb Man page Source code
OMD Man page Source code
PB12Des Man page
Reactor.data Man page
plot.OBsProb Man page Source code
print.OBsProb Man page Source code
print.OMD Man page Source code
summary.OBsProb Man page Source code
summary.OMD Man page Source code

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
OBsMD documentation built on May 20, 2017, 2:25 a.m.

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