dkdevine: Evaluate the density of a kdevine object
In kdevine: Multivariate Kernel Density Estimation with Vine Copulas
dkdevine R Documentation
Evaluate the density of a kdevine object
Description
Evaluate the density of a kdevine object
Usage
dkdevine(x, obj)
Arguments
x
(m x d) matrix of evaluation points (or vector of length d).
obj
a kdevine object.
Value
The density estimate evaluated at x.
See Also
kdevine
Examples
# load data
data(wdbc)
# estimate density (use xmin to indicate positive support)
fit <- kdevine(wdbc[, 5:7], xmin = rep(0, 3))
# evaluate density estimate
dkdevine(c(1000, 0.1, 0.1), fit)
kdevine documentation built on June 22, 2024, 10:52 a.m.
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| dkdevine | R Documentation |
Evaluate the density of a kdevine object
Description
Evaluate the density of a kdevine object
Usage
dkdevine(x, obj)
Arguments
x |
( |
obj |
a |
Value
The density estimate evaluated at x.
See Also
kdevine
Examples
# load data
data(wdbc)
# estimate density (use xmin to indicate positive support)
fit <- kdevine(wdbc[, 5:7], xmin = rep(0, 3))
# evaluate density estimate
dkdevine(c(1000, 0.1, 0.1), fit)
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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