ranks function

Calculation of ranks

These functions are used to calculate ranks of vector valued quantities in the model.

ranksSet(node)
ranksStats(node)
ranksClear(node)

Arguments

• node: Character, name of a vector (one dimensional array) variable in the model.

Details

ranksSet creates a monitor that starts building running histograms to represent the rank of each component of node. An amount of storage proportional to the square of the number of components of node is allocated. Even for large numbers of components this can require less storage than calculating the ranks explicitly in the model specification and storing their samples, and it is also much quicker.

ranksStats displays summarises of the distribution of the ranks of each component of node.

ranksClear removes the monitor calculating running histograms for node.

Returns

ranksStats returns a data frame with columns: - val2.5pc: 0.025 quantiles

• median: medians

• val97.5pc: 0.975 quantiles

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