LandmarkAnalysis        Creates an S4 class for a landmarking analysis
LandmarkAnalysis-class
                        S4 class for performing a landmarking analysis
check_lcmm_convergence
                        Checks convergence of lcmm models
compute_risk_sets       Compute the list of individuals at risk at
                        landmark times
compute_risk_sets,LandmarkAnalysis-method
                        Compute the list of individuals at risk at
                        landmark times
epileptic               Dose calibration of anti-epileptic drugs data
fit_longitudinal        Fits the specified longitudinal model for
                        time-varying covariates up to the landmark
                        times
fit_longitudinal,LandmarkAnalysis-method
                        Fits the specified longitudinal model for
                        time-varying covariates up to the landmark
                        times
fit_survival            Fits the specified survival model at the
                        landmark times and up to the horizon times
                        specified by the user
fit_survival,LandmarkAnalysis-method
                        Fits the specified survival model at the
                        landmark times and up to the horizon times
                        specified by the user
performance_metrics     Performance metrics
performance_metrics,LandmarkAnalysis-method
                        Performance metrics
plot,LandmarkAnalysis-method
                        Plot longitudinal observations and predicted
                        survival curve for one individual
predict_longitudinal    Make predictions for time-varying covariates at
                        specified landmark times
predict_longitudinal,LandmarkAnalysis-method
                        Make predictions for time-varying covariates at
                        specified landmark times
predict_survival        Make predictions for time-to-event outcomes at
                        specified horizon times
predict_survival,LandmarkAnalysis-method
                        Make predictions for time-to-event outcomes at
                        specified horizon times
prune                   Prunes a landmark time from a
                        'LandmarkAnalysis', removing the risk set,
                        longitudinal submodel and survival submodel
                        from the object.
prune,LandmarkAnalysis-method
                        Prunes a landmark time from a
                        'LandmarkAnalysis', removing the risk set,
                        longitudinal submodel and survival submodel
                        from the object.
prune_risk_sets         Prune a set of individuals from a risk set
prune_risk_sets,LandmarkAnalysis-method
                        Prune a set of individuals from a risk set
show,LandmarkAnalysis-method
                        Displays an object of class
                        "'LandmarkAnalysis'"
split_wide_df           Split a wide dataframe containing static and
                        dynamic covariates and splits in into a
                        dataframe with the static covariates and a list
                        of dataframes, each associated to a dynamic
                        covariate.
summary,LandmarkAnalysis-method
                        Summarise a LandmarkAnalysis object
