cBernDCP {CorBin} | R Documentation |

## Generate binary data with decaying-product correlated structure

### 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))
```

[Package

*CorBin*version 1.0.0 Index]