joineRML: a joint model and software package for time-to-event and multivariate longitudinal outcomes

Table 2 Additional functions with descriptions that can be applied to objects of class mjoint^a

Function(s)	Returns
logLik, AIC, BIC	the log-likelihood, Akaike information criterion and Bayesian information criterion statistics, respectively
coef, fixef	the fixed effects parameter estimates
ranef	the BLUPs (and optional standard errors)
print^a, summary^c	short and long model summary outputs, respectively
fitted, resid	the fitted values and raw residuals from the multivariate LMM sub-model, respectively
plot ^b	the MCEM algorithm convergence trace plots
sigma	the residual standard errors from the LMM sub-model
vcov	the variance-covariance matrix of the main parameters of the fitted model (except the baseline hazard)
getVarCov	the random effects variance-covariance matrix
confint	the confidence intervals based on asymptotic normality
update	specific parts of a fitted model can be updated, e.g. by adding or removing terms from a sub-model, and then re-fitted
sampleData	sample data (with or without replacement) from a joint model

^aprint() also applies to objects of class summary.mjoint and bootSE inheriting from the summary() and bootSE() functions, respectively
^bplot() also accepts objects of class ranef.mjoint inheriting from the ranef() function, which displays a caterpillar plot (with 95% prediction intervals) for each random effect
^csummary() can also take the optional argument of an object of class bootSE inheriting from the function bootSE(), which overrides the approximate SEs and CIs with those from a bootstrap estimation routine

ISSN: 1471-2288