Semi-Parametric Joint Modeling of Longitudinal and Survival Data

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Documentation for package ‘FastJM’ version 1.5.0

• 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/Cindex for joint models
cdata	Simulated competing risks data correlated with ydata
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.
mvcdata	Simulated competing risks data correlated with mvydata
mvjmcs	Joint modeling of multivariate longitudinal and competing risks data
mvydata	Simulated bivariate longitudinal data
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.mvjmcs	Print jmcs
print.survfitjmcs	Print survfitjmcs
ranef	Random effects estimates for joint models
residuals	Residuals for joint models
residuals.jmcs	Residuals for joint models
simmvJMdata	Joint modeling of multivariate longitudinal and competing risks data
summary	Anova Method for Fitted Joint Models
summary.AUCjmcs	Print AUCjmcs
summary.jmcs	Anova Method for Fitted Joint Models
summary.MAEQjmcs	Print MAEQjmcs
summary.mvjmcs	Anova Method for Fitted Joint Models
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