xtable: xtable Method from Joint Models.

In JMbayes: Joint Modeling of Longitudinal and Time-to-Event Data under a Bayesian Approach

Description

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

Usage

## S3 method for class 'JMbayes'
xtable(x, caption = NULL, label = NULL, align = NULL,
    digits = NULL, display = NULL, which = c("all", "Longitudinal", "Event"),
    varNames.Long = NULL, varNames.Event = NULL, ...)

Arguments

x	an object inheriting from class JMbayes.
caption	the caption argument of xtable().
label	the label argument of xtable().
align	the align argument of xtable().
digits	the digits argument of xtable().
display	the display argument of xtable().
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.
...	additional arguments; currently none is used.

Value

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

Author(s)

Dimitris Rizopoulos [e-mail]

See Also

jointModelBayes

Examples

## Not run: 
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 <- jointModelBayes(lmeFit, survFit, timeVar = "time")
    
if (require("xtable")) {
    xtable:::xtable(jointFit, math.style.negative = TRUE)
}

## End(Not run)

JMbayes documentation built on Jan. 9, 2020, 9:07 a.m.