R: De-Burn

deburn {LaplacesDemon} | R Documentation

## De-Burn

### Description

The `deburn` function discards or removes a user-specified number of burn-in iterations from an object of class `demonoid`.

### Usage

    deburn(x, BurnIn=0)

### Arguments

`x` | This is an object of class `demonoid`.
`BurnIn` | This argument defaults to `BurnIn=0`, and accepts an integer that indicates the number of iterations to discard as burn-in.

### Details

Documentation for the `burnin` function provides an introduction to the concept of burn-in as it relates to Markov chains.

The `deburn` function discards a number of the first posterior samples, as specified by the `BurnIn` argument. Stationarity is not checked, because it is assumed the user has a reason for using the `deburn` function, rather than using the results from the object of class `demonoid`. Therefore, the posterior samples in `Posterior1` and `Posterior2` are identical, as are `Summary1` and `Summary2`.

### Value

The `deburn` function returns an object of class `demonoid`.

### Author(s)

Statisticat, LLC. software@bayesian-inference.com

### See Also

`burnin` and `LaplacesDemon`.

### Examples

    ### Assuming the user has Fit which is an object of class demonoid:
    #library(LaplacesDemon)
    #Fit2 <- deburn(Fit, BurnIn=100)

[Package LaplacesDemon version 16.1.1 Index]