IndvPred_lme            Individualized Predictions from Linear Mixed
                        Models
JMbayes                 Joint Modeling of Longitudinal and
                        Time-to-Event Data in R under a Bayesian
                        Approach
JMbayesObject           Fitted JMbayes Object
aids                    Didanosine versus Zalcitabine in HIV Patients
anova.JMbayes           Anova Method for Fitted Joint Models
aucJM                   Time-Dependent ROCs and AUCs for Joint Models
bma.combine             Combines Predictions for Bayesian Model
                        Averaging
coef.JMbayes            Estimated Coefficients and Confidence Intervals
                        for Joint Models
cvDCL                   Dynamic Information
dgt                     The Generalized Student's t Distribution
dns                     Derivatives and Integrals of B-splines and
                        Natural Cubic splines
dynCJM                  A Dynamic Discrimination Index for Joint Models
dynInfo                 Dynamic Information of an Extra Longitudinal
                        Measurement
fitted.JMbayes          Fitted Values and Residuals for Joint Models
jointModelBayes         Joint Models for Longitudinal and Time-to-Event
                        Data
logLik.JMbayes          Log-Likelihood for Joint Models
marglogLik              Calculates Marginal Subject-specific
                        Log-Likelihood Contributions
mvJointModelBayes       Multivariate Joint Models for Longitudinal and
                        Time-to-Event Data
mvglmer                 Multivariate Mixed Models
pbc2                    Mayo Clinic Primary Biliary Cirrhosis Data
plot.JMbayes            MCMC Diagnostics for Joint Models
plot.survfit.JMbayes    Plot Method for survfit.JMbayes and
                        survfit.mvJMbayes Objects
prederrJM               Prediction Errors for Joint Models
predict.JMbayes         Predictions for Joint Models
prothro                 Prednisone versus Placebo in Liver Cirrhosis
                        Patients
ranef.JMbayes           Random Effects Estimates for Joint Models
runDynPred              Shiny Application for Dynamic Predictions
survfitJM               Prediction in Joint Models
tve                     Time-Varying Effects using P-splines
xtable.JMbayes          xtable Method from Joint Models.
