pm.wbugs | R Documentation |
Sets up the Pella-Masuda model and passes it to WinBUGS via R2WinBUGS
pm.wbugs(x,
n.iter=20000, n.burnin=floor(n.iter/2),
n.chains=x$R,
n.thin=max(1, floor(n.chains * (n.iter - n.burnin)/1000)),
...)
x |
a mixstock data object |
n.iter |
Total length of each chain |
n.burnin |
Number of burn-in iterations |
n.chains |
Number of chains (default, number of sources) |
n.thin |
thinning rate. Must be a positive integer. Set 'n.thin' > 1 to save memory and computation time if 'n.iter' is large. Default is 'max(1, floor(n.chains * (n.iter-n.burnin) / 1000))' which will only thin if there are at least 2000 simulations. |
... |
other arguments to |
a BUGS object (as returned from R2WinBUGS); can be converted to CODA
format using as.mcmc.bugs
tmcmc
is in general be much more convenient
and efficient than pm.wbugs
:
pm.wbugs
is included for completeness
and testing of WinBUGS
methods.
Ben Bolker
tmcmc
data(bolten98)
## Not run:
bolten98.wbugs <- pm.wbugs(bolten98,tot=1000,clearWD=TRUE)
bolten98.wbugs
## End(Not run)
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