plotBgr {BRugs}R Documentation

Plot the Gelman-Rubin convergence statistic for a scalar variable

Description

This function calculates and plots the Gelman-Rubin convergence statistic for a scalar variable, as modified by Brooks and Gelman (1998).

Usage

plotBgr(node, plot = TRUE, main = NULL, xlab = "iteration", 
    ylab = "bgr", col = c("red", "blue", "green"), bins = 50, 
    ...)

Arguments

node Character, name of a scalar variable in the model.
plot Logical, whether to plot the BGR statistics or only return the values. If TRUE, values are returned invisibly.
main, xlab, ylab annotation, see plot.default
col Colours, see Details Section in samplesBgr.
bins Number of blocks
... Further graphical parameters as in par.

Details

Acts on a scalar variable. See the wrapper function samplesBgr for more details.

Value

Data frame with elements

Iteration end iteration of corresponding bin
pooledChain80pct) 80pct interval (normalized) of pooled chains
withinChain80pct 80pct interval (normalized) of mean within chain
bgrRatio BGR ratio

See Also

samplesBgr, BRugs, help.WinBUGS


[Package BRugs version 0.3-3 Index]