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).
Returns
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.