bayesSurv (version 2.6)

give.summary: 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.

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)