Description Value Author(s) See Also

An object returned by the `jmodelMult`

function, inheriting from class `jmodelMult`

and representing a fitted joint model for survival and longitudinal data. Objects of this class have methods for the generic functions `AIC`

, `BIC`

, `logLik`

, `print`

, `summary`

, and `vcov`

.

The following components must be included in a legitimate `jmodelMult`

object.

`coefficients` |
a list with the estimated parameters. The list is consist of the following components: |

- gamma
the vector of estimated coefficients for the B-spline basis functions in the nonparametric multiplicative random effects model.

- phi
the vector of estimated coefficients for the covariates other than the covariate associated with the longitudinal process in the survival model.

- alpha
the estimated coefficient for the covariate associated with the longitudinal process in the survival model.

- Ysigma
the estimated measurement error standard deviation for the linear mixed-effects model.

- Bsigma
the estimated variance-covariance matrix of the random effects.

- lamb
a numeric matrix with two columns: the first column contains the unique observed survival times in ascending order; the second column contains the corresponding estimated baseline hazard values.

`Vcov` |
the variance-covariance matrix evaluated at the estimated parameter values. |

`logLik` |
the log-likelihood (the joint likelihood) value. |

`est.bi` |
the estimated values for the random effects |

`call` |
a list containing an image of the |

`numIter` |
the number of iterations used in the EM algorithm. |

`convergence` |
the convergence indicator: if |

`control` |
the value of the |

`time.SE` |
the CPU time used to compute the standard error estimates, i.e. the time use to compute the variance-covariance matrix for the parameter estimates. |

`N` |
the total number of repeated measurements for the longitudinal outcome. |

`n` |
the number of sample units. |

`d` |
the censoring indicator: 0 denotes censored survival time; 1 denotes observed survival time. |

`rho` |
the transformation parameter used for the survival model. |

Cong Xu [email protected] Pantelis Z. Hadjipantelis [email protected]

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