bhpm.print.summary.stats: Print the Summary Statistics of Posterior Distributions

In rcarragh/bhpm: Bayesian Hierarchical Poisson Models for Multiple Grouped Outcomes with Clustering

Description

The function prints the variable names, the mean, the HPI interval, the standard distribtion and the MCMC standard error for the simulated sample.

Usage

	bhpm.print.summary.stats(summ)

Arguments

summ	The output from a call to bhpm.summary.stats

Value

Nothing

Author(s)

R. Carragher

Examples

data(bhpm.cluster.data1)
data <- subset(bhpm.cluster.data1, Cluster == '0.0-180.0')
raw = bhpm.npm(data, burnin = 100, iter = 200)
summ = bhpm.summary.stats(raw)
bhpm.print.summary.stats(summ)


data(bhpm.cluster.data1)
raw = bhpm.npm(bhpm.cluster.data1)
summ = bhpm.summary.stats(raw)
bhpm.print.summary.stats(summ)

rcarragh/bhpm documentation built on Nov. 2, 2020, 5:10 p.m.