R: Semi-Parametric Joint Modeling of Longitudinal and Survival Data

# Semi-Parametric Joint Modeling of Longitudinal and Survival Data

## Documentation for package ‘FastJM’ version 1.7.0

- DESCRIPTION file
- Package NEWS
- Package README

## Help Pages

cdata | Simulated competing risks data correlated with ydata
cdatah | Simulated competing risks data where event hazards depend on within-subject variance
combine_biomarkers | Combine biomarker measurements across multiple data frames
Concordance | Concordance for joint models
DynPredAcc | Dynamic prediction accuracy metrics for joint models
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
jmcs_control | Control Options for jmcs
JMMLSM | Joint Modeling for Continuous Outcomes
JMMLSM_control | Control Options for JMMLSM
mvcdata | Simulated competing risks data correlated with mvydata
mvjmcs | Joint modeling of multivariate longitudinal and competing risks data
mvjmcs_control | Control Options for mvjmcs
mvydata | Simulated bivariate longitudinal data
plot | Plot conditional probabilities for new subjects
plot.jmcs | Fitted values for joint models
plot.survfitjmcs | Plot conditional probabilities for new subjects
plot.survfitJMMLSM | Plot conditional probabilities for new subjects
plot.survfitmvjmcs | Plot conditional probabilities for new subjects
print | Print jmcs
print.jmcs | Print jmcs
print.JMMLSM | Print JMMLSM
print.mvjmcs | Print jmcs
print.survfitjmcs | Print survfitjmcs
print.survfitJMMLSM | Print survfitJMMLSM
print.survfitmvjmcs | Print survfitmvjmcs
ranef | Random effects estimates for joint models
residuals.jmcs | Residuals for joint models
simJMdata | Simulate single-biomarker joint model data
simJMWSVdata | Simulate joint model data with heterogeneous within-subject variability
simmvJMdata | Joint modeling of multivariate longitudinal and competing risks data
simmvJMdatalm | Data simulation for multivariate joint models conditional on a landmark time
summary | Summaries of evaluation metrics for joint models
summary.Concordance | Summarize Concordance
summary.DynPredAcc | Summaries of evaluation metrics for joint models
summary.jmcs | Summaries of evaluation metrics for joint models
summary.JMMLSM | Summaries of evaluation metrics for joint models
summary.mvjmcs | Summaries of evaluation metrics for joint models
survfitJM | Dynamic predictions from fitted joint models
survfitJM.jmcs | Dynamic predictions from fitted joint models
survfitJM.JMMLSM | Dynamic predictions from fitted joint models
survfitJM.mvjmcs | Dynamic predictions from fitted joint models
survfitjmcs | Prediction in Joint Models
survfitJMMLSM | Prediction in Joint Models
survfitmvjmcs | Prediction in Joint Models
timeplot | Diagnostic plots for the fitted joint model
vcov | Variance-covariance matrix of the estimated parameters for joint models
vcov.jmcs | Variance-covariance matrix of the estimated parameters for joint models
vcov.JMMLSM | Variance-covariance matrix of the estimated parameters for joint models
vcov.mvjmcs | Variance-covariance matrix of the estimated parameters for joint models
ydata | Simulated longitudinal data
ydatah | Simulated longitudinal data with within-subject variance