R: Joint Models of Survival and Multivariate Longitudinal Data

# Joint Models of Survival and Multivariate Longitudinal Data

## Documentation for package ‘gmvjoint’ version 0.4.5

- DESCRIPTION file
- Package NEWS
- Package README

## Help Pages

gmvjoint-package | Joint Models of Survival and Multivariate Longitudinal Data
anova.joint | Anova for joint models
boot.joint | Bootstrapping a 'joint' object
cond.ranefs | Obtain conditional distribution of the random effects
dynPred | Dynamic predictions for survival sub-model in a multivariate joint model.
extractAIC.joint | Extract AIC from a joint model fit.
fitted.joint | Obtain joint model fitted values
fixef.joint | Extract fixed effects from a 'joint' object.
gmvjoint | Joint Models of Survival and Multivariate Longitudinal Data
joint | Fit a joint model to time-to-event and multivariate longitudinal data
joint.object | Fitted 'joint' object
logLik.joint | Log-likelihood for joint model.
parseCoxph | Parsing the survival formula and constructing all survival-related data objects.
PBC | Primary biliary cirrhosis data
plot.residuals.joint | Plot joint model residuals
ranef.joint | Extract random effects from a 'joint' object.
residuals.joint | Obtain joint model residuals
rgenpois | Simulate realisations from a generalised poisson distribution
ROC | Receiver Operator Characteristics (ROC) for a 'joint' model.
simData | Simulate data from a multivariate joint model
summary.joint | Summary of an 'joint' object.
vcov.joint | Extract the variance-covariance matrix from a 'joint' fit.
xtable.joint | Print an LaTeX-ready 'xtable' for a 'joint' object.