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 |

`BurnIn` |
This argument defaults to |

### 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)
```

*LaplacesDemon*version 16.1.6 Index]