Man pages for sa4khan/AFTjmr
Recurrent event analysis and joint modeling using accelerated failure time (AFT) models
| jm.DIC | Computes DIC for Bayesian fit of the joint model |
| jm.reffects | Posterior means/medians of the random effects from a joint... |
| jmreg.aft | Fit joint model |
| jm.resid | Cox-Snell residuals for the event process of the joint model |
| jm.resid.plot | Cox-Snell residual plot for the event process of the joint... |
| jm.sim | Simulate from joint models |
| jm.summary | Summary of a joint model fit |
| jm.surv | Dynamic predictions of survival probabilites |
| jm.WAIC | Computes WAIC for Bayesian fit of the joint model |
| LR.test | Likelihood ratio test for Weibull as a submodel of the... |
| pbc.long | Mayo Clinic Primary Biliary Cirrhosis Data |
| pbc.surv | Mayo Clinic Primary Biliary Cirrhosis Data |
| print.AFTjmr | Prints AFTjmr objects |
| sim.rec | Simulate recurrent event data |
| survreg.aft | Fit a parametric AFT model to time-to-event data |
| surv.resid | Cox-Snell residuals |
