# Multivariate Joint Modeling for Longitudinal and Time-to-Event Outcomes with 'INLA'

## Documentation for package ‘INLAjoint’ version 26.6.2

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

coef.INLAjoint | Extracts model coefficients from a given model fitted with INLAjoint
family.INLAjoint | Extracts family from a given model fitted with INLAjoint
fitted.INLAjoint | Extracts fitted values from a given model fitted with INLAjoint
fixef.INLAjoint | Extracts fixed effects values from a given model fitted with INLAjoint
formula.INLAjoint | Extracts formula from a given model fitted with INLAjoint
INLAjoint | INLAjoint
INLAjoint.ginv | Setup ginv
INLAjoint.object | Fitted 'joint' object
INLAjoint.rw | Setup rw
INLAjoint.rw2 | Setup rw2
INLAjoint.scopy.define | Setup scopy
joint | Fit a multivariate joint model for longitudinal and/or survival data
joint.compare | Compare INLAjoint models
joint.rerun | Rerun a model fitted with INLAjoint
joint.run | Run a model fitted with INLAjoint
logLik.INLAjoint | Extracts log-likelihood value from a given model fitted with INLAjoint
LongMS | Simulated univariate longitudinal dataset
Longsim | Simulated multivariate longitudinal dataset
nobs.INLAjoint | Extracts number of observations of each composant from a given model fitted with INLAjoint
plot.INLAjoint | Plot the output from a multivariate joint model for longitudinal and/or survival data
plot.score_predictions | Plot method for score_predictions objects
predict.INLAjoint | Computes predictions for a given model fitted with INLAjoint
print.plot.INLAjoint | Prints plot the output from a multivariate joint model for longitudinal and/or survival data
print.score_predictions | Print method for score_predictions objects
ranef.INLAjoint | Extracts random effects values from a given model fitted with INLAjoint
score_predictions | Compute time-dependent predictive accuracy metrics (AUC and Brier Score)
setup_FE_model | Setup fixed effects part for longitudinal marker k
setup_RE_model | Setup random effects part for longitudinal marker k
setup_S_model | Setup survival part for outcome m
setup_Y_model | Setup outcome for longitudinal marker
SurvMS | Simulated multi-state survival dataset
Survsim | Simulated competing risks survival dataset