summary {BRugs}

Summary of MCMC simulation

Description

These functions are used to calculate running means, standard deviations and quantiles.

Usage

summarySet(node)
summaryStats(node)
summaryClear(node)

Arguments

node

Character vector containing names of a variables in the model.

Details

summarySet creates monitor(s) that starts recording the running totals for node.

summaryStats displays the running means, standard deviations, and 2.5%, 50% (median) and 97.5% quantiles for node. Note that these running quantiles are calculated via an approximate algorithm and should therefore be used with caution.

summaryClear removes the monitor(s) calculating running totals for node.

These functions are less powerful and general than the samples functions (e.g., see samplesSet), but they also require much less storage (an important consideration when many variables and/or long runs are of interest).

Value

summaryStats returns a data frame with columns:

mean

means

sd

standard deviations

val2.5pc

0.025 quantiles

median

medians

val97.5pc

0.975 quantiles

sample

sample sizes

Note

Users should ensure their simulation has converged before using these functions. Note that if the MCMC simulation has an adaptive phase it will not be possible to make inference using values sampled before the end of this phase.

See Also

BRugs, help.WinBUGS