Description Usage Arguments Value Author(s) References Examples

This function estimates components scores for each subject using the result of CLUSBIRD.

1 2 |

`X` |
Binary data matrix (N * D). |

`A` |
Loading matrix (D * L) estimated by |

`mu` |
A D-length mean vector estimated by |

`N.ite` |
The number of maximum of iterations for the EM algorithm. |

`N.random` |
The number of random sets of parameters for initial random starts. |

`show.random.ite` |
If |

`oblique` |
If |

`mc.cores` |
If |

`F` |
An estimated component score matrix (N * D) containing scores for subjects. |

`n.ite` |
The number of iteration needed for convergence. |

`loss` |
The value of loss function used in ALS algorithm |

Michio Yamamoto

michio.koko@gmail.com

Yamamoto, M. and Hayashi, K. (2015). Clustering of multivariate binary data with dimension reduction via L1-regularized maximization. Pattern Recognition, 48, 3959-3968.

1 | ```
##See the example of the function "cbird".
``` |

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