Description Usage Arguments Details Value

Splits a data set into two via a Gaussian mixture models

1 2 3 | ```
glcSplit(x, initFunctions, weight = NULL, index = NULL, level =
0, wthresh = 1e-09, verbose = TRUE, nthresh = 5,
splitCriterion = glcSplitCriterionBIC)
``` |

`x` |
Data matrix (n x j) on which to perform clustering |

`initFunctions` |
List of functions of type “glcInitialize...” for initializing latent class model.
See |

`weight` |
Weight corresponding to the indices passed (see |

`index` |
Row indices of data matrix to include. Defaults to all (1 to n). |

`level` |
Current level. |

`wthresh` |
Weight threshold for filtering data to children. Indices having weight less than this value will not be passed to children nodes. |

`verbose` |
Level of verbosity. Default=2 (too much). 0 for quiet. |

`nthresh` |
Total weight in node required for node to be a candidate for splitting. Nodes with weight less than this value will never split. |

`splitCriterion` |
Function of type “glcSplitCriterion...” for determining whether split should occur.
See |

Should not be called by user.

A list of objects representing split.

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