Classifier_Bayes |
Classifier based on Bayes rule |

cov2vec |
Transform a variance matrix into a vector |

discriminant_beta |
Discriminant function |

EMMIXSSL |
Fitting Gaussian mixture models |

errorrate |
Error rate of the Bayes rule for two-class Gaussian homoscedastic model |

gastrodata |
Gastrointestinal dataset |

gastro_label_binary |
Gastrointestinal binary labels |

gastro_label_trinary |
Gastrointestinal trinary labels |

get_clusterprobs |
Posterior probability |

get_entropy |
Shannon entropy |

initialvalue |
Initial values for ECM |

list2par |
Transfer a list into a vector |

loglk_full |
Full log-likelihood function |

loglk_ig |
Log likelihood for partially classified data with ingoring the missing mechanism |

loglk_miss |
Log likelihood function formed on the basis of the missing-label indicator |

logsumexp |
log summation of exponential function |

makelabelmatrix |
Label matrix |

neg_objective_function |
Negative objective function for EMMIXSSL |

normalise_logprob |
Normalize log-probability |

par2list |
Transfer a vector into a list |

pro2vec |
Transfer a probability vector into a vector |

rlabel |
Generation of a missing-data indicator |

rmix |
Normal mixture model generator. |

vec2cov |
Transform a vector into a matrix |

vec2pro |
Transfer an informative vector to a probability vector |