Clustering longitudinal data using the likelihood as a metric of distance

addIndic | Create the new formula with the indicator covariates |

affect_rand | Affect randomly the individuals to the clusters |

artifdata | Artificial data |

Converge-class | Class '"Converge"' |

Converge-methods | Method for function 'show' |

getNomCoef | Get the name of the coefficients in the 'glm' object... |

glmClust | Clustering longitudinal data |

GlmCluster-class | Class 'GlmCluster' |

GlmCluster-methods | Plot the main trajectories |

kmlCov | Clustering longitudinal data from different starting... |

KmlCovList-class | Class 'KmlCovList' |

KmlCovList-methods | Plot the main trajectories |

kmlcov-package | Clustering longitudinal data using the likelihood as a metric... |

log_lik | Calculate the log-likelihood |

majIndica | Calculate an indicator vector |

predict_clust | Creates a character string expression to calculate the... |

rwFormula | Rewrite the formula with all the covariates |

seperateFormula | Separate the covariates in a formula |

which_best | Seek the best partitions |

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