Description Value Author(s) See Also

An object returned by the `jointModelBayes`

function, inheriting from class `JMbayes`

and representing a fitted
joint model for longitudinal and time-to-event data. Objects of this class have methods for the generic functions
`coef`

, `confint`

, `fixed.effects`

, `logLik`

, `plot`

, `print`

,
`random.effects`

, `summary`

, and `vcov`

.

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

object.

`mcmc` |
a list with the MCMC samples for each parameter (except from the random effects if control argument |

`postMeans` |
a list with posterior means. |

`postModes` |
a list with posterior modes calculated using kernel desnisty estimation. |

`postVarsRE` |
a list with the posterior variance-covariance matrix for the random effects of each subject. |

`StErr` |
a list with posterior standard errors. |

`EffectiveSize` |
a list with effective sample sizes. |

`StDev` |
a list with posterior standard deviations. |

`CIs` |
a list with 95% credible intervals. |

`vcov` |
the variance-covariance matrix of the model's parameters based. |

`pD` |
the pD value. |

`DIC` |
the deviance information criterion value. |

`CPO` |
the conditional predictive ordinate value. |

`LPML` |
the log pseudo marginal likelihood value. |

`time` |
the time used to fit the model. |

`scales` |
a list with scaling constants in the Metropolis algorithm. |

`Covs` |
a list with the covariance matrices of the proposals in the Metropolis algorithm. |

`acceptRates` |
a list of acceptance rates. |

`x` |
a list with the design matrices for the longitudinal and event processes. |

`y` |
a list with the response vectors for the longitudinal and event processes. |

`Data` |
a list of data frames with the data used to fit the models. |

`Terms` |
a list of terms objects for the various parts of the joint model. |

`Funs` |
a list of functions used for the various parts of the joint model. |

`Forms` |
a list of formulas for the two submodels. |

`timeVar` |
the value of the |

`control` |
the value of the |

`densLongCheck` |
a logical indicating whether a scale parameter is required in the longitudinal submodel. |

`param` |
the value of the |

`priors` |
a list with the specification of the prior distributions for the model's parameters. This has the same components as
the |

`baseHaz` |
the value of the |

`df.RE` |
the value of the |

`call` |
the matched call. |

Dimitris Rizopoulos d.rizopoulos@erasmusmc.nl

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