logLik, AIC, BIC

the loglikelihood, 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 submodel, respectively

plot
^{b}

the MCEM algorithm convergence trace plots

sigma

the residual standard errors from the LMM submodel

vcov

the variancecovariance matrix of the main parameters of the fitted model (except the baseline hazard)

getVarCov

the random effects variancecovariance 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 submodel, and then refitted

sampleData

sample data (with or without replacement) from a joint model
