cBernDCP: Generate binary data with decaying-product correlated...

In CorBin: Generate High-Dimensional Binary Data with Correlation Structures

Description

Equivalent to cBern(n, p, rho, type="DCP")

Usage

cBernDCP(n, p, rho)

Arguments

n	number of observations
p	the vector of marginal probabilities with dimension m
rho	either a non-negative value indecating the shared correlation coefficient or and m-1 vector indicating the correlation coefficients between adjacent variables.

Value

an n*p matrix of binary data

Examples

X <- cBernDCP(10, rep(0.5,3), c(0.2,0.2))

CorBin documentation built on Nov. 15, 2020, 1:06 a.m.