NMixMCMC).
This is useful in survival context when a density
of $Y=log(T)$ is modelled using the function
NMixMCMC and we are interested in inference
on $ET = Eexp(Y)$.
NMixChainsDerived(object)NMixMCMC or NMixMCMClistobject. When
object was of class NMixMCMC, the resulting object
contains additionally the following components:
data.frame with columns labeled
expy.Mean.1, ..., expy.Mean.p containing the
sampled values of $Eexp(Y[1])$, ...,
$Eexp(Y[p])$.object was of the class NMixMCMClist then each of
its components (chains) is augmented by new components
chains.derived and summ.expy.Mean.
NMixMCMC.