optimise.eu.sim.model


    A simulation model object returned by <code>eval.on.grid</code>,
  <code>fit.gpr</code> or <code>fit.loess</code>. Specifying any method other than <code>"Grid"</code>
  requires that the object has been obtained from <code>fit.gpr</code> or <code>fit.loess</code>. 


model


    The start value when performing the search for a maximum. Passed on
  to <code>optim</code>. 


start


  The optimisation method to be used. Must be one of
  <code>"Nelder-Mead"</code>, <code>"BFGS"</code>, <code>"CG"</code>, <code>"L-BFGS-B"</code>,
  <code>"SANN"</code>, <code>"Brent"</code> or <code>"Grid"</code>.


method


    A numeric, atomic vector giving the lower limits for the decision
  variables when performing the maximisation.


lower


  A numeric, atomic vector giving the upper limits for the decision
  variables when performing the maximisation.


upper


  A list of control parameters passed on to <code>optim</code>.


control


  <code>optimise.eu</code> method for objects of class <code>sim.model</code>.  


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.

optimise.eu.sim.model: Optimise Expected Utility

Description

Usage

Arguments

Details