simulate.kdecopula: Simulate data from a 'kdecop()' fit.

In kdecopula: Kernel Smoothing for Bivariate Copula Densities

Description

See rkdecop().

Usage

## S3 method for class 'kdecopula'
simulate(object, nsim = 1, seed = NULL, quasi = FALSE,
  ...)

Arguments

object	an object of class kdecopula.
nsim	integer; number of observations.
seed	integer; set.seed(seed) will be called prior to rkdecop().
quasi	logical; the default (FALSE) returns pseudo-random numbers, use TRUE for quasi-random numbers (generalized Halton, see
...	unused.

Value

Simulated data from the fitted kdecopula model.

Examples

data(wdbc)
udat <- apply(wdbc[, -1], 2, function(x) rank(x) / (length(x) + 1))
fit <- kdecop(udat[, 5:6])
plot(simulate(fit, 500))

kdecopula documentation built on May 2, 2019, 1:06 a.m.