fit.loess.sim.model


    A model object obtained as the return value from <code>eval.on.grid</code>.


model


    A parameter which controls the degree of smoothing.


span


  The degree of the polynomials to be used, normally 1 or 2.    


degree


  <code>fit.loess</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.

fit.loess.sim.model: Fit A Local Polynomial Regression Function

Description

Usage

Arguments

Details