dkde1d: Working with a kde1d object

In tnagler/kdevine: Multivariate Kernel Density Estimation with Vine Copulas

Working with a kde1d object

Description

The density, cdf, or quantile function of a kernel density estimate are evaluated at arbitrary points with dkde1d, pkde1d, and qkde1d respectively.

Usage

dkde1d(x, obj)

pkde1d(x, obj)

qkde1d(x, obj)

rkde1d(n, obj, quasi = FALSE)

Arguments

x	vector of evaluation points.
obj	a kde1d object.
n	integer; number of observations.
quasi	logical; the default (FALSE) returns pseudo-random numbers, use TRUE for quasi-random numbers (generalized Halton, see ghalton).

Value

The density or cdf estimate evaluated at x.

See Also

kde1d

Examples

data(wdbc)  # load data
fit <- kde1d(wdbc[, 5])  # estimate density
dkde1d(1000, fit)        # evaluate density estimate
pkde1d(1000, fit)        # evaluate corresponding cdf
qkde1d(0.5, fit)         # quantile function
hist(rkde1d(100, fit))   # simulate

tnagler/kdevine documentation built on Oct. 23, 2022, 3:56 a.m.