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

2 * 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)

Arnost Komarek arnost.komarek@med.kuleuven.be

### 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 0.4 Index]