acfMCMC {AnaCoDa} | R Documentation |

## Autocorrelation function for the likelihood or posterior trace

### Description

The function calculates and by defaults plots the acf and estimates the autocorrelation in the trace.

### Usage

```
acfMCMC(mcmc, type = "LogPosterior", samples = NULL, lag.max = 40, plot = TRUE)
```

### Arguments

`mcmc` |
object of class MCMC |

`type` |
"LogPosterior" or "LogLikelihood", defaults to "LogPosterior" |

`samples` |
number of samples at the end of the trace used to calculate the acf |

`lag.max` |
Maximum amount of lag to calculate acf. Default is 10*log10(N), where N i the number of observations. |

`plot` |
logical. If TRUE (default) a plot of the acf is created |

### See Also

[Package

*AnaCoDa*version 0.1.4.4 Index]