# xtable Method from Joint Models.

### Description

produces a LaTeX table with the results of a joint model using package xtable.

### Usage

1 2 3 4 5 |

### Arguments

`x` |
an object inheriting from class |

`caption` |
the |

`label` |
the |

`align` |
the |

`digits` |
the |

`display` |
the |

`which` |
a character string indicating which results to include in the LaTeX table. Options are all results, the results of longitudinal submodel or the results of the survival submodel. |

`varNames.Long` |
a character vector of the variable names for the longitudinal submodel. |

`varNames.Event` |
a character vector of the variable names for the survival submodel. |

`p.values` |
logical; should p-values be included in the table. |

`digits.pval` |
a numeric scalare denoting the number of significance
digits in the |

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

### Value

A LaTeX code chunk with the results of the joint modeling analysis.

### Author(s)

Dimitris Rizopoulos d.rizopoulos@erasmusmc.nl

### See Also

`jointModel`

### Examples

1 2 3 4 5 6 7 8 9 10 11 | ```
## Not run:
require(xtable)
prothro$t0 <- as.numeric(prothro$time == 0)
lmeFit <- lme(pro ~ treat * (time + t0), random = ~ time | id, data = prothro)
survFit <- coxph(Surv(Time, death) ~ treat, data = prothros, x = TRUE)
jointFit <- jointModel(lmeFit, survFit, timeVar = "time",
method = "weibull-PH-aGH")
xtable(jointFit, math.style.negative = TRUE)
## End(Not run)
``` |

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