Description Usage Arguments Value

Given a matrix of random vectors, estimates the parameters for a mixture of multivariate normal distributions. Accommodates arbitrary patterns of missingness, provided the elements are missing at random (MAR).

1 2 |

`Y` |
Numeric data matrix. |

`k` |
Number of mixture components. Defaults to 2. |

`M0` |
Optional list of initial mean vectors. |

`fix.means` |
Fix the means to their starting value? Must provide initial values. |

`S0` |
Optional list of initial covariance matrices. |

`pi0` |
Optional vector of initial cluster proportions. |

`maxit` |
Maximum number of EM iterations. |

`eps` |
Minimum acceptable increment in the EM objective. |

`report` |
Report fitting progress? |

`parallel` |
Run in parallel? Must register parallel backend first. |

Object of class `mix`

containing the estimated

zrmacc/MNMix documentation built on May 14, 2019, 11:11 a.m.

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