diag.mcmc.list {bdpopt}  R Documentation 
Get the mcmc.list
object obtained when running the JAGS model
corresponding to model
. Diagnostic functions provided by the
coda package may then be applied in order to check that there is a
sufficent amount of adaptation and burn in for the application.
This is a generic function for S3 objects.
diag.mcmc.list(model, utility.fun, data, n.iter, n.burn.in, n.adapt = 1000, n.chains = 1, inits = NULL)
model 
Simulation model object of class 
utility.fun 
An R function defining the utility for the decision problem. It
must be possible to extract the argument names of the function
supplied with 
data 
A named list of R objects which, when combined with the named
objects in 
n.iter 
The number of iterations in the JAGS MCMC simulation. 
n.burn.in 
The number of burn in iterations prior to the JAGS MCMC simulation. 
n.adapt 
The number of adaptation iterations prior to the burn in phase and subsequent JAGS MCMC simulation. 
n.chains 
The number of parallel MCMC chains to run. 
inits 
The initial values for the chain(s) passed on to the function

The purpose of this function is to make it possible for the user
diagnose the JAGS output (e.g., using the coda package) and select
appropriate values for n.iter
, n.burn.in
and
n.adapt
.
An object of type mcmc.list
, as produced by rjags::coda.samples
.
Sebastian Jobjörnsson jobjorns@chalmers.se