gen.cop: Generate a Copula
In cds: Constrained Dual Scaling for Detecting Response Styles

gen.cop

R Documentation

Generate a Copula

Description

Generate correlated data multivariate categorical data via a copula.

Usage

gen.cop(
  n,
  tauvek = c(0.2, 0.35),
  nr.cols = c(10, 10),
  true.mu = runif(sum(nr.cols)),
  err.coeff = 0.1,
  random = FALSE,
  reverse = TRUE,
  reverse.thresh = 0.75
)

Arguments

`n`	Integer; the number of samples to draw.
`tauvek`	A vector of association parameters for each of the Clayton copulae (see `copClayton`), of the same length as `nr.cols`.
`nr.cols`	A vector giving the number of columns to draw from each of the copulae.
`true.mu`	A vector giving the mean for each of the columns in the data.
`err.coeff`	The standard errors for underlying normal distribution.
`random`	Logical indicating whether or not the samples should be presented in random order.
`reverse`	Logical indicating whether some of the simulated variables should be reversed to have negative association or not.
`reverse.thresh`	The proportion of columns to reverse.