summary.angmcmc {BAMBI} | R Documentation |

## Summary statistics for parameters from an angmcmc object

### Description

Summary statistics for parameters from an angmcmc object

### Usage

```
## S3 method for class 'angmcmc'
summary(object, par.name, comp.label, chain.no, ...)
```

### Arguments

`object` |
angular MCMC object. |

`par.name` |
vector of names of parameters for which point estimates are to be computed. If |

`comp.label` |
vector of component labels (positive integers, e.g., |

`chain.no` |
vector of chain numbers whose samples are to be be used. in the estimation. By default all chains are used. |

`...` |
additional arguments affecting the summary produced. |

### Details

Computes (after thinning and discarding burn-in) point estimates with 95% posterior credible sets for all components and all parameters, together with the sample averages of log likelihood and log posterior density.

### Value

Returns a list with elements `estimate, lower, upper, llik`

and `lpd`

. `estimate`

is itself a list with three elements: `mean`

, `median`

and `mode`

providing the
sample mean, sample median and (sample) MAP estimates.

Note that `summary.angmcmc`

has its own print method, providing a table the estimated mean and 95% credible intervals for each parameter

### Examples

```
# illustration only - more iterations needed for convergence
fit.vmsin.20 <- fit_vmsinmix(tim8, ncomp = 3, n.iter = 20,
n.chains = 1)
summary(fit.vmsin.20)
```

*BAMBI*version 2.3.5 Index]