Description Value Author(s) See Also

An S3 class object created by `lmestCont`

for the Latent Markov (LM) model for continuous responses in long format with covariates in the latent model.

`lk` |
maximum log-likelihood |

`Be` |
estimated array of the parameters affecting the logit for the initial probabilities |

`Ga` |
estimated array of the parameters affecting the logit for the transition probabilities |

`Mu` |
estimate of conditional means of the response variables |

`Si` |
estimate of var-cov matrix common to all states |

`np` |
number of free parameters |

`k` |
optimal number of latent states |

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

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

`lkv` |
log-likelihood trace at every step |

`n` |
number of observations in the data |

`TT` |
number of time occasions |

`paramLatent` |
type of parametrization for the transition probabilities ("multilogit" = standard multinomial logit for every row of the transition matrix, "difflogit" = multinomial logit based on the difference between two sets of parameters) |

`seMu` |
standard errors for the conditional means |

`seSi` |
standard errors for the var-cov matrix |

`seBe` |
standard errors for |

`seGa` |
standard errors for Ga |

`PI` |
estimate of transition probability matrices |

`Piv` |
estimate of initial probability matrix |

`Ul` |
matrix containing the predicted sequence of latent states by the local decoding method |

`Lk` |
vector containing the values of the log-likelihood of the LM model with each |

`Bic` |
vector containing the values of the BIC of the LM model with each |

`Aic` |
vector containing the values of the AIC of the LM model with each |

`call` |
command used to call the function |

`data` |
data frame given in input |

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

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