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)

Arnošt Komárek arnost.komarek[AT]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 0.6-1 Index]