rrlarg: Simulate r-largest observations from point process of...
In mev: Modelling of Extreme Values
rrlarg R Documentation
Simulate r-largest observations from point process of extremes
Description
Simulate the r-largest observations from a Poisson point process with intensity
\Lambda(x) = (1+\xi(x-\mu)/\sigma)^{-1/\xi}
.
Usage
rrlarg(n, r, loc = 0, scale = 1, shape = 0)
Arguments
n
sample size
r
number of observations per block
loc
location parameter
scale
scale parameter
shape
shape parameter
Value
an n by r matrix of samples from the point process, ordered from largest to smallest in each row.
mev documentation built on April 20, 2023, 5:10 p.m.
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| rrlarg | R Documentation |
Simulate r-largest observations from point process of extremes
Description
Simulate the r-largest observations from a Poisson point process with intensity
\Lambda(x) = (1+\xi(x-\mu)/\sigma)^{-1/\xi}
.
Usage
rrlarg(n, r, loc = 0, scale = 1, shape = 0)
Arguments
n |
sample size |
r |
number of observations per block |
loc |
location parameter |
scale |
scale parameter |
shape |
shape parameter |
Value
an n by r matrix of samples from the point process, ordered from largest to smallest in each row.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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