Description Usage Arguments Author(s) References See Also Examples

Produces MCMC diagnostics plots.

1 2 3 4 5 |

`x` |
an object inheriting from class |

`which` |
which types of plots to produce. |

`param` |
for which parameter to produce the MCMC diagnostic plots; default is for all parameters. |

`ask` |
logical, if |

`max.t` |
numeric scalar; up to which time point to plot the weight function, default is up to the third quantile of the observed event times. |

`from` |
numeric scalar; from which time point to start plotting the weight function, default is zero. |

`...` |
additional arguments; currently none is used. |

Dimitris Rizopoulos d.rizopoulos@erasmusmc.nl

Rizopoulos, D. (2012) *Joint Models for Longitudinal and Time-to-Event Data: with
Applications in R*. Boca Raton: Chapman and Hall/CRC.

1 2 3 4 5 6 7 8 9 10 11 12 13 | ```
## Not run:
# linear mixed model fit
fitLME <- lme(log(serBilir) ~ drug * year, random = ~ 1 | id, data = pbc2)
# survival regression fit
fitSURV <- coxph(Surv(years, status2) ~ drug, data = pbc2.id, x = TRUE)
# joint model fit, under the (default) Weibull model
fitJOINT <- jointModelBayes(fitLME, fitSURV, timeVar = "year")
plot(fitJOINT)
## End(Not run)
``` |

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