give.summary {bayesSurv} | R Documentation |

## Brief summary for the chain(s) obtained using the MCMC.

### Description

This function computes a sample mean, quantiles and a Bayesian
`p`

-value which is defined as

`p = 2\times\min(n_{-},\,n_{+}),`

where
`n_{-}`

is the number of the sampled values which are
negative and `n_{+}`

is the number of sampled values which
are positive.

### Usage

```
give.summary(sample, probs=c(0.5, 0.025, 0.975))
```

### Arguments

`sample` |
a data frame or a vector with sampled values |

`probs` |
probabilities of the quantiles that are to be computed |

### Value

A matrix or a vector with the sample mean, quantiles and a Bayesian `p`

-value.

### Author(s)

Arnošt Komárek arnost.komarek@mff.cuni.cz

### Examples

```
## Example with a sample stored in a vector:
sample <- rnorm(1000)
give.summary(sample)
## Example with a sample stored in a data.frame:
sample <- data.frame(x=rnorm(1000), y=rgamma(1000, shape=1, rate=1))
give.summary(sample)
```

[Package

*bayesSurv*version 3.7 Index]