genInvKenFun: Generate the inverse Kendall distribution function
In spcopula: Copula Driven Analysis - Multivariate, Spatial, Spatio-Temporal
Description
Usage
Arguments
Value
Author(s)
See Also
Examples
Description
The inverse of a (empirical) Kendall distribution function is generated based on numerical inversion using optimise.
Usage
1
genInvKenFun(kenFun, tol)
Arguments
kenFun
The (empirical) Kendall distribution function to be inverted.
tol
Tolerance passed on to optimise.
Value
The inverse of a Kendall distribution function as a function.
Author(s)
Benedikt Graeler
See Also
genEmpKenFun and getKendallDistr for the Kendall distribution function.
Examples
1
2
3
4
5
frankKenDistrFun <- getKendallDistr(frankCopula(.5))
frankInvKenDistrFun <- genInvKenFun(frankKenDistrFun)
frankInvKenDistrFun(.8)
frankKenDistrFun(frankInvKenDistrFun(.8))
spcopula documentation built on May 2, 2019, 4:49 p.m.
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Description Usage Arguments Value Author(s) See Also Examples
Description
The inverse of a (empirical) Kendall distribution function is generated based on numerical inversion using optimise.
Usage
1 | genInvKenFun(kenFun, tol)
|
Arguments
kenFun |
The (empirical) Kendall distribution function to be inverted. |
tol |
Tolerance passed on to |
Value
The inverse of a Kendall distribution function as a function.
Author(s)
Benedikt Graeler
See Also
genEmpKenFun and getKendallDistr for the Kendall distribution function.
Examples
1 2 3 4 5 | frankKenDistrFun <- getKendallDistr(frankCopula(.5))
frankInvKenDistrFun <- genInvKenFun(frankKenDistrFun)
frankInvKenDistrFun(.8)
frankKenDistrFun(frankInvKenDistrFun(.8))
|
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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