bhpm.summary.stats {bhpm} | R Documentation |
Summary Statistics for the Posterior Distributions in the model.
Description
Returns the Summary Statistics for the Posterior Distributions in the model.
Usage
bhpm.summary.stats(raw, prob)
Arguments
raw |
The output from a model simulation (e.g. bhpm.cluster.BB.hier3). |
prob |
The probability level for HPI. Default is 0.95. |
Details
The function reports the mean, upper and lower bounds of the HPI (highest probabily interval), the standard deviation and MCMC standard error.
Value
Returns a list of the summary statistics for each sampled variable. Each element of the list is a data.frame containing at least the columns mean, median, hpi_lower, hpi_upper, SD and SE. Columns which may be used to indentify the individual variables are Outcome.Grp, Outcome, and Cluster.
Note
The MCMC error is found using the 'coda' summary function.
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)
data(bhpm.cluster.data1)
raw = bhpm.npm(bhpm.cluster.data1)
summ = bhpm.summary.stats(raw)
[Package bhpm version 1.7 Index]