Fits gumbel distribution (GEV with `xi = 0`

) to
block maxima data.

1 |

`data` |
data vector. Interpretation depends on value of block: if no block size is specified then data are interpreted as block maxima; if block size is set, then data are interpreted as raw data and block maxima are calculated. |

`block` |
the block size. A numeric value is interpreted as the
number of data values in each successive block. All the data is
used, so the last block may not contain |

`...` |
arguments passed to |

This function is primarily intended for comparison with GEV for assessing the need for a heavy-tailed Frechet (or short-tailed Weibull) to model block maxima.

An object of class `"gev"`

describing the fit and including
parameter estimates and standard errors.
Fitting is carried out using maximum likelihood.

`plot.gev`

, `gev`

,
`optim`

, `as.POSIXct`

1 2 3 4 5 6 7 | ```
# Fit Gumbel to maxima of blocks of 100 observations
data(bmw)
out <- gumbel(bmw, 100)
# Fit Gumbel to the data in nidd.annual, the annual maximum water
# levels of the River Nidd, using the "BFGS" optimization method
data(nidd.annual)
out <- gumbel(nidd.annual, method = "BFGS", control = list(maxit = 500))
``` |

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