samplesDensity {BRugs} | R Documentation |

## Plot density estimate or histogram

### Description

This function plots a smoothed kernel density estimate for a variable if it is continuous or a histogram if it is discrete.

### Usage

```
samplesDensity(node, beg = samplesGetBeg(), end = samplesGetEnd(),
firstChain = samplesGetFirstChain(),
lastChain = samplesGetLastChain(), thin = samplesGetThin(),
plot = TRUE, mfrow = c(3, 2), ask = NULL, ann = TRUE, ...)
```

### Arguments

`node` |
Character vector of length 1, name of a variable in the model. |

`beg` , `end` |
Arguments to select a slice of monitored values corresponding to iterations |

`firstChain` , `lastChain` |
Arguments to select a sub group of chains to plot density estimate or histogram for. |

`thin` |
to only use every |

`plot` |
Logical, whether to plot the trace or only return density estimates.
If |

`mfrow` , `ask` , `ann` |
Graphical parameters, see |

`...` |
Further graphical parameters as in |

### Details

If the variable of interest is an array, slices of the array can be selected using the notation
`variable[lower0:upper0, lower1:upper1, ...]`

.
A star ‘`*`

’ can be entered as shorthand for all the stored samples.

If the arguments are left at their defaults the whole sample for all chains will be used for calculation.

### Note

If the MCMC simulation has an adaptive phase it will not be possible to make inference using values sampled before the end of this phase.

### See Also

*BRugs*version 0.9-2.1 Index]