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 |

`main` , `xlab` , `ylab` |
annotation, see |

`col` |
Colours, see Details Section in |

`bins` |
Number of blocks |

`...` |
Further graphical parameters as in |

### 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 0.9-2.1 Index]