| EllipticalGenerator | R Documentation |
A collection and description of functions
concerned with the generator function for
the elliptical copula and with functions
for setting and checking the distributional
parameters.
Functions:
ellipticalList | Returns list of implemented elliptical copulae, |
ellipticalParam | Sets default parameters for an elliptical copula, |
ellipticalRange | returns the range of valid rho values, |
ellipticalCheck | checks if rho is in the valid range, |
gfunc | Generator function for elliptical distributions, |
gfuncSlider | Slider for generator, density and probability. |
ellipticalList()
ellipticalParam(type = ellipticalList())
ellipticalRange(type = ellipticalList())
ellipticalCheck(rho = 0.75, param = NULL, type = ellipticalList())
gfunc(x, param = NULL, type = ellipticalList())
gfuncSlider(B = 10)
B |
[*Slider] - |
rho |
[*ellipticalCopula] - |
param |
[*ellipticalCopula][gfunc] - |
type |
[*ellipticalCopula][gfunc] - |
x |
[gfunc] - |
Copula Functions:
The functions [rpd]ellipticalCopula return a numeric vector
of random variates, probabilities, or densities for the specified
copula computed at grid coordinates u|v.
The functions [rpd]ellipticalSlider display an interactive
graph of an perspective copula plot either for random variates,
probabilities or densities. Alternatively, an image underlayed
contour plot can be shown.
Copula Dependence Measures:
The functions ellipticalTau and ellipticalRho return
a numericc value for Kendall's Tau and Spearman's Rho.
Copula Tail Coefficient:
The function ellipticalTailCoeff returns the coefficient of
tail dependence for a specified copula. The function
ellipticalTailPlot displays a whole plot for the upper or
alternatively for the lower tail dependence as a function of
u for a set of nine rho values.
Copula Generator Function:
The function gfunc computes the generator function for the
specified copula, by default the normal copula. If the argument
x is missing, then the normalization constand lambda will
be returned, otherwise if x is specified the values for the
function g(x) will be freturned. The selected type of copula
is added to the output as an attribute named "control".
The function gfuncSlider allows to display interactively
the generator function, the marginal density, the marginal
probability, and the contours of the the bivariate density.
Copula Simulation and Parameter Fitting:
The function ellipticalCopulaSim returns a numeric two-column
matrix with randomly generated variates for the specified copula.
The function ellipticalCopulaFit returns a fit to empirical
data for the specified copula. The returned object is a list with
elements from the function nlminb.
Diethelm Wuertz for the Rmetrics R-port.
## ellipticalList - # List implemented copulae: ellipticalList() ## gfunc - # Generator Function: gfunc(x <- (0:10)/10, param = 2, type = "t") ## gfuncSlider - # Try: ## Not run: gfuncSlider() ## End(Not run)
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