Description Usage Arguments Value References See Also Examples

The main function of our package, through which we can simulate correlated binary data under different settings.

1 |

`n` |
number of observations |

`p` |
the vector of marginal probabilities with dimension m |

`rho` |
For the first three types, rho is either a non-negative value indecating the shared correlation coefficient or and m-1 vector indicating the correlation coefficients between adjacent variables. For the general case, rho should be a list, the i-th element of which specifies the coefficients on the i-th minor diagnal. |

`type` |
including 4 types. type="exchange" type="DCP" type="1-dependent" type="General" |

`k` |
(for 'General' use only). The number of layers setting for k-dependent structure. k=m-1 for the general case. |

an n*p matrix of binary data

Jiang, W., Song, S., Hou, L. and Zhao, H. A set of efficient methods to generate high-dimensional binary data with specified correlation structures. *The American Statistician*. DOI:10.1080/00031305.2020.1816213

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