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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