Optimisation of Bayesian Decision Problems

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Documentation for package ‘bdpopt’ version 1.0-1

• DESCRIPTION file.
• User guides, package vignettes and other documentation.

Help Pages

create.normal.model	Create Normal Emax Model
create.normal.model.from.file	Create Normal Emax Model From File
create.utility.function	Create Utility Function For The Normal Model
diag.mcmc.list	MCMC List For Diagnostic Evaluation
diag.mcmc.list.sim.model	MCMC List For Diagnostic Evaluation
eval.eu	Evaluate Expected Utility
eval.eu.sim.model	Evaluate Expected Utility
eval.on.grid	Evaluate Expected Utility On A Grid
eval.on.grid.sim.model	Evaluate Expected Utility On A Grid
fit.gpr	Fit A Gaussian Process Regression Function
fit.gpr.sim.model	Fit A Gaussian Process Regression Function
fit.loess	Fit A Local Polynomial Regression Function
fit.loess.sim.model	Fit A Local Polynomial Regression Function
n.opt	Optimise A Simple Normal Model
optimise.eu	Optimise Expected Utility
optimise.eu.sim.model	Optimise Expected Utility
optimise.sequential.eu	Optimise Sequential Expected Utility
optimise.sequential.normal.eu	Optimise A Sequential Normal Decision Problem
plot.sim.model	Plot The Results Contained In Simulation Model Object
print.sim.model	Print Status Of Simulation Model Object
sequential.dp	Construct A Sequential Decision Problem
sequential.normal.dp	Create A Sequential Normal Decision Problem
sim.model	Construct A Simulation Model Object