R: Estimate Joint Models with Subject-Specific Variance

# Estimate Joint Models with Subject-Specific Variance

## Documentation for package ‘FlexVarJM’ version 0.1.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

data.GaussKronrod | Initialisation of Survival Data at Gauss Kronrod time points
data.GaussKronrod2 | Initialisation of Survival Data at Gauss Kronrod time points 2
data.manag.long | Management of longitudinal data
data.manag.surv | Management of survival data
data.time | Management of data for longitudinal submodel
Data_toy | Data_toy
gaussKronrod | Gauss-Kronrod nodes and weights
goodness_of_fit | Predictions for the goodness of fit, of the random effects, the current value for each individuals and the cumulative hazard function for both events
initial.long | Initialisation of Longitudinal Submodel
log_llh | Log-likelihood computation
log_llh_rcpp | Log-likelihood computation in RCPP
lsjm | lsjm : Estimation of joint model for longitudinal data with a subject-specific time-dependent variability and time-to-event data.
lsmm | lsmm : Estimation of location scale mixed model
predyn | Dynamic prediction for new individuals
pred_s.t.bootstrap.tps | Predictions computation
pred_s.t.ponctuel.tps | Predictions computation