Simulate from a kdevine object — rkdevine • kdevine

Simulate from a kdevine object

rkdevine(n, obj, quasi = FALSE)

Arguments

n: number of observations.
obj: a kdevine object.
quasi: logical; the default (FALSE) returns pseudo-random numbers, use TRUE for quasi-random numbers (generalized Halton, only works for fully nonparametric fits).

Value

An \(n x d\) matrix of simulated data from the kdevine

object.

See also

kdevine, rkdevinecop, rkde1d

Examples

# load and plot data
data(wdbc)
wdbc <- wdbc[1:30, ]
# estimate density
fit <- kdevine(wdbc[, 5:7], xmin = rep(0, 3))

# plot simulated data
pairs(rkdevine(nrow(wdbc), fit))