gpd.profxi: GPD Profile Log Likelihood for xi
In K-Molloy/tevt: Threshold Methods for Extreme Value Theory
Description
Usage
Arguments
Examples
Description
Creates ξ profile log liklihood
Usage
1
gpd.profxi(z, xlow, xup, conf = 0.95, nint = 100)
Arguments
z
dataset
xlow
lower ξ value
xup
upper ξ value
conf
Confidence size default is set to 0.95
nint
Number of intervals default is set to 100
Examples
1
2
3
data(danish)
out = gpd.fit(danish, 10)
gpd.profxi(out, -0.1, 0.2)
K-Molloy/tevt documentation built on Dec. 18, 2021, 2:34 a.m.
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Description Usage Arguments Examples
Description
Creates ξ profile log liklihood
Usage
1 | gpd.profxi(z, xlow, xup, conf = 0.95, nint = 100)
|
Arguments
z |
dataset |
xlow |
lower ξ value |
xup |
upper ξ value |
conf |
Confidence size |
nint |
Number of intervals |
Examples
1 2 3 | data(danish)
out = gpd.fit(danish, 10)
gpd.profxi(out, -0.1, 0.2)
|
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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