NMixChainsDerived {mixAK} | R Documentation

## Create MCMC chains derived from previously sampled values

### Description

Currently, this function creates chains for marginal means of exp(data) from previously sampled values (see `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).

### Usage

    NMixChainsDerived(object)

### Arguments

`object` | an object of class `NMixMCMC` or `NMixMCMClist`

### Value

An object of the same class as argument `object`. When `object` was of class `NMixMCMC`, the resulting object contains additionally the following components:

`chains.derived` | a `data.frame` with columns labeled `expy.Mean.1`, ..., `expy.Mean.p` containing the sampled values of Eexp(Y[1]), ..., Eexp(Y[p]).
`summ.expy.Mean` | posterior summary statistics for Eexp(Y[1]), ..., Eexp(Y[p]).

When `object` was of the class `NMixMCMClist` then each of its components (chains) is augmented by new components `chains.derived` and `summ.expy.Mean`.

### Author(s)

Arnošt Komárek arnost.komarek[AT]mff.cuni.cz

### See Also

`NMixMCMC`.

[Package mixAK version 0.6 Index]