ExtremeValueCopulae {fCopulae} | R Documentation |
Bivariate Extreme Value Copulae
Description
A collection and description of functions to investigate
bivariate extreme value copulae.
Extreme Value Copulae Functions:
revCopula | Generates extreme value copula random variates, |
pevCopula | computes extreme value copula probability, |
devCopula | computes extreme value copula density, |
revSlider | displays interactive plots of extreme value random variates, |
pevSlider | displays interactive plots of extreme value probability, |
devSlider | displays interactive plots of extreme value density. |
Usage
revCopula(n, param = NULL, type = evList())
pevCopula(u = 0.5, v = u, param = NULL, type = evList(),
output = c("vector", "list"), alternative = FALSE )
devCopula(u = 0.5, v = u, param = NULL, type = evList(),
output = c("vector", "list"), alternative = FALSE )
revSlider(B = 10)
pevSlider(type = c("persp", "contour"), B = 10)
devSlider(type = c("persp", "contour"), B = 10)
Arguments
alternative |
[evRho][evTau][*evCopula] - |
B |
[*Slider] - |
n |
[revCopula][evCopulaSim] - |
output |
[*evCopula] - |
param |
[*ev*][A*] - |
type |
[*ev*][Afunc] - |
u , v |
[*evCopula][*archmCopula] - |
Value
The function pcopula
returns a numeric matrix of probabilities
computed at grid positions x
|y
.
The function parchmCopula
returns a numeric matrix with values
computed for the Archemedean copula.
The function darchmCopula
returns a numeric matrix with values
computed for thedensity of the Archemedean copula.
The functions Phi*
return a numeric vector with the values
computed from the Archemedean generator, its derivatives, or its
inverse.
The functions cK
and cKInv
return a numeric vector with the
values of the density and inverse for Archimedian copulae.
Author(s)
Diethelm Wuertz for the Rmetrics R-port.
Examples
## fCOPULA -
getClass("fCOPULA")
getSlots("fCOPULA")
## revCopula -
# Not yet implemented
# revCopula(n = 10, type = "galambos")
## pevCopula -
pevCopula(u = grid2d(), type = "galambos", output = "list")
## devCopula -
devCopula(u = grid2d(), type = "galambos", output = "list")
## AfuncSlider -
# Generator, try:
## Not run: AfuncSlider()