Usage
NMixMCMCwrapper(chain=1,
scale, prior, inits, Cpar, RJMCMC, CRJMCMC,
actionAll, nMCMC, keep.chains, PED,
dens.zero)Arguments
chain
identification of the chain sampled in a particular call
of this function, usually number like 1, 2, ...
Cpar
a list with the following components
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
scale
a list specifying how to scale the data before running
MCMC. See argument scale in NMixMCMC prior
a list specifying prior hyperparameters. See argument
prior in NMixMCMC. inits
a list of length at least chain. Its
chain-th component is used. Each component of the list should
have the structure of init argument of function
NMixMCMC RJMCMC
a list specifying parameters for RJ-MCMC.
See argument RJMCMC in NMixMCMC CRJMCMC
a numeric vector with parameters for RJ-MCMC.
actionAll
argument for underlying C++ function.
nMCMC
vector giving the length of MCMC etc.
keep.chains
logical. If FALSE, only summary statistics
are returned in the resulting object. This might be useful in the
model searching step to save some memory.
PED
a logical value which indicates whether the penalized
expected deviance (see Plummer, 2008 for more details)
will be computed (which requires two parallel
chains). Even if keep.chains is FALSE, it is necessary
to
dens.zero
small number (1e-300) to determine whether the
contribution to the deviance ($-\log$ density) is equal to
infinity. Such values are trimmed when computing expected deviance.