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 heavytailed Frechet (or shorttailed 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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