# Diagnostic Plots for Order Statistics Models

### Description

Produces diagnostic plots for order statistics models using
the output of the function `rlarg.fit`

.

### Usage

1 | ```
rlarg.diag(z, n = z$r)
``` |

### Arguments

`z` |
An object returned by |

`n` |
Probability and quantile plots are produced for the
largest |

### Value

For stationary models four plots are initially produced;
a probability plot, a quantile plot, a return level plot
and a histogram of data with fitted density.
Then probability and quantile plots are produced for the
largest `n`

order statistics.

For non-stationary models residual probability plots and
residual quantile plots are produced for the largest
`n`

order statistics.

### See Also

`rlarg.fit`

### Examples

1 2 3 | ```
## Not run: data(venice)
## Not run: venfit <- rlarg.fit(venice[,-1])
## Not run: rlarg.diag(venfit)
``` |

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