NMixMCMCwrapper {mixAK} | R Documentation |
This is wrapper to the NMixMCMC main simulation which allows vectorized evaluation and possibly parallel computation.
THIS FUNCTION IS NOT TO BE CALLED BY ORDINARY USERS.
NMixMCMCwrapper(chain=1, z0, z1, censor, p, n, scale, prior, inits, RJMCMC, Cinteger, Cdouble, CRJMCMC, actionAll, nMCMC, keep.chains, PED, dens.zero)
chain |
identification of the chain sampled in a particular call of this function, usually number like 1, 2, ... |
z0 |
n x p matrix with shifted and scaled main limits of observed intervals. |
z0 |
n x p matrix with shifted and scaled upper limits of observed intervals. |
censor |
n x p matrix with censoring indicators. |
p |
dimension of the response. |
n |
number of observations. |
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 |
Cinteger |
a numeric vector with integer prior parameters. |
Cdouble |
a numeric vector with double precission prior parameters. |
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 keep (for a while) at least some chains to compute PED.
|
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. |
A list having almost the same components as object returned by
NMixMCMC
function.
Arnošt Komárek arnost.komarek[AT]mff.cuni.cz