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 0.3-2 Index]