Description Value Author(s) See Also

An S3 class object created by `lmestMixed`

for the mixed latent Markov (LM) models for categorical data in long format.

`la` |
estimate of the mass probability vector (distribution of the random effects) |

`Piv` |
estimate of initial probabilities |

`Pi` |
estimate of transition probability matrices |

`Psi` |
estimate of conditional response probabilities |

`lk` |
maximum log-likelihood |

`W` |
posterior probabilities of the random effect |

`np` |
number of free parameters |

`k1` |
number of support points (latent classes) of the latent variable defining the unobserved clusters |

`k2` |
number of support points (latent states) of the latent variable defining the first-order Markov process |

`bic` |
value of the Akaike Information Criterion for model selection |

`aic` |
value of the Akaike Information Criterion for model selection |

`n` |
number of observations in the data |

`TT` |
number of time occasions |

`sela` |
standard errors for |

`sePiv` |
estimate of initial probability matrix |

`sePi` |
standard errors for the transition probabilities |

`sePsi` |
standard errors for the conditional response matrix |

`call` |
command used to call the function |

`data` |
the input data |

Francesco Bartolucci, Silvia Pandolfi, Fulvia Pennoni, Alessio Farcomeni, Alessio Serafini

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