Package index • landmaRk

All functions

LandmarkAnalysis-class: S4 class for performing a landmarking analysis
LandmarkAnalysis(): Creates an S4 class for a landmarking analysis
check_lcmm_convergence(): Checks convergence of lcmm models
compute_risk_sets(<LandmarkAnalysis>): Compute the list of individuals at risk at landmark times
compute_risk_sets(): Compute the list of individuals at risk at landmark times
.BinaryBrierScore(): Binary Brier Score
.CIndexCRisks(): Concordance index for competing risks
epileptic: Dose calibration of anti-epileptic drugs data
fit_longitudinal(<LandmarkAnalysis>): Fits the specified longitudinal model for time-varying covariates up to the landmark times
fit_longitudinal(): Fits the specified longitudinal model for time-varying covariates up to the landmark times
fit_survival(<LandmarkAnalysis>): Fits the specified survival model at the landmark times and up to the horizon times specified by the user
fit_survival(): Fits the specified survival model at the landmark times and up to the horizon times specified by the user
performance_metrics(<LandmarkAnalysis>): Performance metrics
performance_metrics(): Performance metrics
plot(<LandmarkAnalysis>): Plots longitudinal trajectories and survival curves for landmarking models.
predict_longitudinal(<LandmarkAnalysis>): Make predictions for time-varying covariates at specified landmark times
predict_longitudinal(): Make predictions for time-varying covariates at specified landmark times
predict_survival(<LandmarkAnalysis>): Make predictions for time-to-event outcomes at specified horizon times
predict_survival(): Make predictions for time-to-event outcomes at specified horizon times
prune(<LandmarkAnalysis>): Prunes a landmark time from a LandmarkAnalysis, removing the risk set, longitudinal submodel and survival submodel from the object.
prune(): Prunes a landmark time from a LandmarkAnalysis, removing the risk set, longitudinal submodel and survival submodel from the object.
prune_risk_sets(<LandmarkAnalysis>): Prune a set of individuals from a risk set
prune_risk_sets(): Prune a set of individuals from a risk set
show(<LandmarkAnalysis>): 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>): Summarise a LandmarkAnalysis object