pp.fitrange {ismev} | R Documentation |
Maximum-likelihood fitting for a stationary point process model, over a range of thresholds. Graphs of parameter estimates which aid the selection of a threshold are produced.
pp.fitrange(data, umin, umax, npy = 365, nint = 10, show = FALSE)
data |
A numeric vector of data to be fitted. |
umin, umax |
The minimum and maximum thresholds at which the model is fitted. |
npy |
The number of observations per year/block. |
nint |
The number of fitted models. |
show |
Logical; if TRUE , print details of each
fit. |
Three graphs showing maximum likelihood estimates and confidence intervals of the location, scale and shape parameters over a range of thresholds are produced.
pp.fit
, mrl.plot
,
gpd.fit
, gpd.fitrange
## Not run: data(rain) ## Not run: pp.fitrange(rain, 10, 40)