McmcParams-class {CNPBayes} | R Documentation

## An object to specify MCMC options for a later simulation

### Description

An object to specify MCMC options for a later simulation

### Slots

`thin`

  A one length numeric to specify thinning. A value of n indicates that every nth sample should be saved. Thinning helps to reduce autocorrelation.

`iter`

  A one length numeric to specify how many MCMC iterations should be sampled.

`burnin`

  A one length numeric to specify burnin. The first $n$ samples will be discarded.

`nstarts`

  A one length numeric to specify the number of chains in a simulation.

`param_updates`

  Indicates whether each parameter should be updated (1) or fixed (0).

### Examples

    McmcParams()
    McmcParams(iter=1000)
    mp <- McmcParams()
    iter(mp)

[Package CNPBayes version 1.12.0 Index]