summary {BRugs} | R Documentation |
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.