bdpopt: Optimisation of Bayesian Decision Problems

Optimisation of the expected utility in single-stage and multi-stage Bayesian decision problems. The expected utility is estimated by simulation. For single-stage problems, JAGS is used to draw MCMC samples.

Install the latest version of this package by entering the following in R:
install.packages("bdpopt")
AuthorSebastian Jobjrnsson [aut, cre]
Date of publication2016-03-30 10:14:45
MaintainerSebastian Jobjrnsson <jobjorns@chalmers.se>
LicenseGPL-2
Version1.0-1

View on CRAN

Functions

create.normal.model Man page
create.normal.model.from.file Man page
create.utility.function Man page
diag.mcmc.list Man page
diag.mcmc.list.sim.model Man page
eval.eu Man page
eval.eu.sim.model Man page
eval.on.grid Man page
eval.on.grid.sim.model Man page
fit.gpr Man page
fit.gpr.sim.model Man page
fit.loess Man page
fit.loess.sim.model Man page
n.opt Man page
optimise.eu Man page
optimise.eu.sim.model Man page
optimise.sequential.eu Man page
optimise.sequential.normal.eu Man page
plot.sim.model Man page
print.sim.model Man page
sequential.dp Man page
sequential.normal.dp Man page
sim.model Man page

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.