R: Time-to-Event Landmark Analysis using an Array of Longitudinal and Survival Sub-Models

# Time-to-Event Landmark Analysis using an Array of Longitudinal and Survival Sub-Models

## Documentation for package ‘landmaRk’ version 0.1.1

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

## Help Pages

check_lcmm_convergence | Checks convergence of lcmm models
compute_risk_sets | Compute the list of individuals at risk at landmark times
compute_risk_sets-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-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-method | Fits the specified survival model at the landmark times and up to the horizon times specified by the user
LandmarkAnalysis | Creates an S4 class for a landmarking analysis
LandmarkAnalysis-class | S4 class for performing a landmarking analysis
performance_metrics | Performance metrics
performance_metrics-method | Performance metrics
plot-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-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-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-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-method | Prune a set of individuals from a risk set
show-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-method | Summarise a LandmarkAnalysis object