Multivariate Joint Modeling for Longitudinal and Time-to-Event Outcomes with 'INLA'
Run a model fitted with INLAjoint
Extracts log-likelihood value from a given model fitted with INLAjoint
Extracts number of observations of each composant from a given model f...
Rerun a model fitted with INLAjoint
Fit a multivariate joint model for longitudinal and/or survival data
Setup outcome for longitudinal marker
Extracts model coefficients from a given model fitted with INLAjoint
Extracts family from a given model fitted with INLAjoint
Extracts fitted values from a given model fitted with INLAjoint
Extracts fixed effects values from a given model fitted with INLAjoint
Extracts formula from a given model fitted with INLAjoint
Setup ginv
Fitted joint object
INLAjoint
Setup rw
Setup rw2
Setup scopy
Plot the output from a multivariate joint model for longitudinal and/o...
Computes predictions for a given model fitted with INLAjoint
Prints plot the output from a multivariate joint model for longitudina...
Extracts random effects values from a given model fitted with INLAjoin...
Setup fixed effects part for longitudinal marker k
Setup random effects part for longitudinal marker k
Setup survival part for outcome m
Estimation of joint models for multivariate longitudinal markers (with various distributions available) and survival outcomes (possibly accounting for competing risks) with Integrated Nested Laplace Approximations (INLA). The flexible and user friendly function joint() facilitates the use of the fast and reliable inference technique implemented in the 'INLA' package for joint modeling. More details are given in the help page of the joint() function (accessible via ?joint in the R console) and the vignette associated to the joint() function (accessible via vignette("INLAjoint") in the R console).
Useful links