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https://github.com/cran/multivariance
12 October 2021, 01:43:24 UTC
Revision 71cc2d66e2e947a4fd1ea1041711e731420b36ef authored by Björn Böttcher on 19 March 2019, 14:00:03 UTC, committed by cran-robot on 19 March 2019, 14:00:03 UTC 
version 2.1.0
1 parent 2ffcc68
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Tip revision: 71cc2d66e2e947a4fd1ea1041711e731420b36ef authored by Björn Böttcher on 19 March 2019, 14:00:03 UTC
version 2.1.0
Tip revision: 71cc2d6
coins.Rd 
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/multivariance-functions.R
\name{coins}
\alias{coins}
\title{dependence example: k-independent coin sampling}
\usage{
coins(N = 1000, k = 2)
}
\arguments{
\item{N}{number of samples}

\item{k}{each k-tuple will be independent}
}
\value{
It returns the samples as rows of an \code{N} by \code{k+1} matrix. The columns are dependent but k-independent.
}
\description{
This function creates samples which are dependent but k-independent.
}
\examples{
coins(200,4)

}
\references{
For the theoretic background see the reference [3] given on the main help page of this package: \link{multivariance-package}.
}
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