AUC.landmark            Estimates the area under the ROC curve (AUC).
BS.landmark             Estimates the Brier score.
Ghat.FUN                Calculates the Kaplan Meier survival
                        probability for censoring
Kern.FUN                Calculates kernel matrix
Prob.Covariate          Estimates P(TL <t0+tau | TL > t0, Z), i.e.
                        given discrete covariate.
Prob.Covariate.ShortEvent
                        Estimates P(TL <t0+tau | TL > t0, Z, min(TS,
                        t0), I(TS<=t0)), i.e. given discrete covariate
                        and TS information.
Prob.Null               Estimates P(TL <t0+tau | TL > t0).
Prob2                   Estimates P(TL <t0+tau | TL > t0, Z, TS>t0).
Prob2.k.t               Estimates P(TL <t0+tau | TL > t0, Z, TS==ts).
VTM                     Helper function, repeats a row.
Wi.FUN                  Computes the inverse probability of censoring
                        weights for a specific t0 and tau
cumsum2                 Helper function
data_example_landpred   Hypothetical data to be used in examples.
helper.si               Helper function for AUC.landmark
landpred-package        Landmark Prediction of a Survival Outcome
mse.BW                  Helper function for optimize.mse.BW.
optimize.mse.BW         Calculates initial optimal bandwidth.
prob2.single            Estimates P(TL <t0+tau | TL > t0, Z, TS==ts)
                        for a single t.
