summary.bayesboot: Summarize the result of 'bayesboot'

In rasmusab/bayesboot: An Implementation of Rubin's (1981) Bayesian Bootstrap

Description

Summarizes the result of a call to bayesboot by calculating means, SDs, highest density intervals and quantiles of the posterior marginals.

Usage

## S3 method for class 'bayesboot'
summary(object, cred.mass = 0.95, ...)

Arguments

object	The bayesboot object to summarize.
cred.mass	The probability mass to include in the highest density intervals.
...	Not used.

Value

A data frame with three columns: (1) statistic the name of the statistic, (2) measure the name of the summarizing measure, and (3) value the value of the summarizing measure.

See Also

hdi in the HDInterval package for directly calculating highest density intervals from bayesboot objects.

rasmusab/bayesboot documentation built on May 27, 2019, 2:03 a.m.