samplesSetting {BRugs} | R Documentation |

## Change settings used for calculations

### Description

These low level functions can be used to set begin, end, and thinning of chains as well as the first/last chain of the stored sample.

### Usage

```
samplesSetBeg(begIt)
samplesSetEnd(endIt)
samplesSetThin(thin)
samplesSetFirstChain(first)
samplesSetLastChain(last)
```

### Arguments

`begIt` |
First iteration of the stored sample used for calculating statistics. |

`endIt` |
Last iteration of the stored sample used for calculating statistics. |

`thin` |
Every |

`first` , `last` |
First/last chain of the stored sample used for calculating statistics. |

### Details

`samplesSetBeg`

sets the first iteration of the stored sample used for calculating statistics to `begIt`

.

`samplesSetEnd`

sets the last iteration of the stored sample used for calculating statistics to `endIt`

.

`samplesSetThin`

sets the numerical field used to select every `thin`

-th iteration of
each chain to contribute to the statistics being calculated.

`samplesSetFirstChain`

is used to set the first chain of the stored sample used for
calculating statistics to be `first`

.

`samplesSetLastChain`

is used to set the last chain of the stored sample used for calculating
statistics to be `last`

.

### Note

Note the difference between this and the thinning facility of the update function:
when thinning via the update function we are permanently discarding samples as the MCMC simulation runs,
whereas here we have already generated (and stored) a suitable number of (posterior) samples and
may wish to discard some of them only temporarily.
Thus, setting `thin > 1`

here will not have any impact on the storage (memory) requirements;
if you wish to reduce the number of samples actually stored (to free-up memory) you should thin via the update function.

### See Also

*BRugs*version 0.9-2.1 Index]