Package index • landmaRk

All functions

LandmarkAnalysis-class: S4 class for performing a landmarking analysis

LandmarkAnalysis(): Creates an S4 class for a landmarking analysis

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