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| JMbayes-package | Joint Modeling of Longitudinal and Time-to-Event Data in R under a Bayesian Approach |
| aids | Didanosine versus Zalcitabine in HIV Patients |
| aids.id | Didanosine versus Zalcitabine in HIV Patients |
| anova.JMbayes | Anova Method for Fitted Joint Models |
| aucJM | Time-Dependent ROCs and AUCs for Joint Models |
| aucJM.JMbayes | Time-Dependent ROCs and AUCs for Joint Models |
| aucJM.mvJMbayes | 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 |
| confint.JMbayes | Estimated Coefficients and Confidence Intervals for Joint Models |
| cvDCL | Dynamic Information |
| dbs | Derivatives and Integrals of B-splines and Natural Cubic splines |
| 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 |
| dynCJM.JMbayes | A Dynamic Discrimination Index for Joint Models |
| dynInfo | Dynamic Information of an Extra Longitudinal Measurement |
| extract_lmeComponents | Individualized Predictions from Linear Mixed Models |
| find_thresholds | Time-Dependent ROCs and AUCs for Joint Models |
| find_thresholds.mvJMbayes | Time-Dependent ROCs and AUCs for Joint Models |
| fitted.JMbayes | Fitted Values and Residuals for Joint Models |
| fixef.JMbayes | Estimated Coefficients and Confidence Intervals for Joint Models |
| ibs | Derivatives and Integrals of B-splines and Natural Cubic splines |
| IndvPred_lme | Individualized Predictions from Linear Mixed Models |
| ins | Derivatives and Integrals of B-splines and Natural Cubic splines |
| JMbayes | Joint Modeling of Longitudinal and Time-to-Event Data in R under a Bayesian Approach |
| JMbayesObject | Fitted JMbayes Object |
| 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 |
| mvglmer | Multivariate Mixed Models |
| mvJointModelBayes | Multivariate Joint Models for Longitudinal and Time-to-Event Data |
| pbc2 | Mayo Clinic Primary Biliary Cirrhosis Data |
| pbc2.id | Mayo Clinic Primary Biliary Cirrhosis Data |
| pgt | The Generalized Student's t Distribution |
| plot.JMbayes | MCMC Diagnostics for Joint Models |
| plot.survfit.JMbayes | Plot Method for survfit.JMbayes and survfit.mvJMbayes Objects |
| plot.survfit.mvJMbayes | Plot Method for survfit.JMbayes and survfit.mvJMbayes Objects |
| prederrJM | Prediction Errors for Joint Models |
| prederrJM.JMbayes | Prediction Errors for Joint Models |
| prederrJM.mvJMbayes | Prediction Errors for Joint Models |
| predict.JMbayes | Predictions for Joint Models |
| predict_eventTime | Time-Dependent ROCs and AUCs for Joint Models |
| predict_eventTime.mvJMbayes | Time-Dependent ROCs and AUCs for Joint Models |
| prothro | Prednisone versus Placebo in Liver Cirrhosis Patients |
| prothros | Prednisone versus Placebo in Liver Cirrhosis Patients |
| qgt | The Generalized Student's t Distribution |
| ranef.JMbayes | Random Effects Estimates for Joint Models |
| residuals.JMbayes | Fitted Values and Residuals for Joint Models |
| rgt | The Generalized Student's t Distribution |
| rocJM | Time-Dependent ROCs and AUCs for Joint Models |
| rocJM.JMbayes | Time-Dependent ROCs and AUCs for Joint Models |
| rocJM.mvJMbayes | Time-Dependent ROCs and AUCs for Joint Models |
| runDynPred | Shiny Application for Dynamic Predictions |
| survfitJM | Prediction in Joint Models |
| survfitJM.JMbayes | Prediction in Joint Models |
| survfitJM.mvJMbayes | Prediction in Joint Models |
| tve | Time-Varying Effects using P-splines |
| xtable.JMbayes | xtable Method from Joint Models. |