Landmark Prediction of a Survival Outcome

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Documentation for package ‘landpred’ version 1.2

• DESCRIPTION file.

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