Description Usage Arguments Value See Also

View source: R/clustMD_InternalFunctions.R

Internal function.

1 2 |

`tau` |
a |

`N` |
number of observations. |

`sumTauEz` |
the sum across all observations of observed and expected latent continuous values mutiplied by the posterior probability of belonging to each cluster. |

`J` |
the number of variables. |

`OrdIndx` |
the sum of the number of continuous and ordinal (including binary) variables. |

`D` |
dimension of the latent data. |

`G` |
the number of mixture components. |

`Y` |
a |

`CnsIndx` |
the number of continuous variables. |

`sumTauS` |
the sum across all observations of outer product of observed and expected latent continuous values mutiplied by the posterior probability of belonging to each cluster. |

`model` |
which |

`a` |
a |

`nom.ind.Z` |
the latent dimensions corresponding to each nominal variable. |

Output required for `clustMD`

function.

clustMD documentation built on May 29, 2017, 3:30 p.m.

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