Description Usage Arguments Value See Also

View source: R/clustMD_InternalFunctions.R

Internal function.

1 2 |

`D` |
dimension of the latent data. |

`G` |
number of mixture components. |

`N` |
number of observations. |

`CnsIndx` |
the number of continuous variables. |

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

`zlimits` |
the truncation points for the latent data. |

`mu` |
a |

`Sigma` |
a |

`Y` |
an |

`J` |
the number of variables. |

`K` |
the number of levels for each variable. |

`norms` |
a matrix of standard normal deviates. |

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

`patt.indx` |
a list of length equal to the number of observed response patterns. Each entry of the list details the observations for which that response pattern was observed. |

Output required for `clustMD`

function.

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.