# Semi-Parametric Joint Modeling of Longitudinal and Survival Data

## Documentation for package ‘FastJM’ version 1.4.2

- DESCRIPTION file.
- Package NEWS.

## Help Pages

anova | Anova Method for Fitted Joint Models
anova.jmcs | Anova Method for Fitted Joint Models
AUCjmcs | Time-dependent AUC for joint models
cdata | Simulated competing risks data
fitted | Fitted values for joint models
fitted.jmcs | Fitted values for joint models
fixef | Estimated coefficients estimates for joint models
jmcs | Joint modeling of longitudinal continuous data and competing risks
MAEQjmcs | A metric of prediction accuracy of joint model by comparing the predicted risk with the empirical risks stratified on different predicted risk group.
PEjmcs | A metric of prediction accuracy of joint model by comparing the predicted risk with the counting process.
plot.jmcs | Fitted values for joint models
print | Print jmcs
print.jmcs | Print jmcs
print.survfitjmcs | Print survfitjmcs
ranef | Random effects estimates for joint models
residuals | Residuals for joint models
residuals.jmcs | Residuals for joint models
summary | Anova Method for Fitted Joint Models
summary.AUCjmcs | Print AUCjmcs
summary.jmcs | Anova Method for Fitted Joint Models
summary.MAEQjmcs | Print MAEQjmcs
summary.PEjmcs | Print PEjmcs
survfitjmcs | Prediction in Joint Models
vcov | Variance-covariance matrix of the estimated parameters for joint models
vcov.jmcs | Variance-covariance matrix of the estimated parameters for joint models
ydata | Simulated longitudinal data