Simulated binary data: MvBinaryExample

MvBinary is a tool for fitting the distribution of correlated multivariate binary data.

Package: | MvBinary |

Type: | Package |

Version: | 1.0.0 |

Date: | 2015-11-03 |

License: | GPL-2 |

LazyLoad: | yes |

Author: Marbac M., and Sedki S.

Matthieu Marbac, Mohammed Sedki (2015). A Family of Blockwise One-Factor Distributions for Modelling High-Dimensional Binary Data. arXiv:1511.01343

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | ```
# Package loading
rm(list=ls())
require(MvBinary)
# Data loading
data(MvBinaryExample)
# Parameter estimation by the HAC-based algorithm on 2 cores
# where the EM algorithms are initialized 10 times
res.CAH <- MvBinaryEstim(MvBinaryExample, 2, nbinit.EM = 10)
# Summary of the estimated model
summary(res.CAH)
# Print the parameters of the estimated model
print(res.CAH)
``` |

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