Package index
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AUC.landmark() - Calculate AUC for Landmark Prediction
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BS.landmark() - Calculate Brier Score for Landmark Prediction
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Ghat.FUN() - Estimate Survival Function
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Kern.FUN() - Kernel Function
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Prob.Covariate() - Calculate Probability with Covariate Information
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Prob.Covariate.ShortEvent() - Calculate Probability with Short Event Information
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Prob.Null() - Calculate Probability with No Information
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Prob2() - Calculate Probability Component (No Kernel)
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Prob2.k.t() - Calculate Probability Component with Kernel Smoothing
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VTM() - Vector to Matrix
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Wi.FUN() - Calculate Inverse Probability of Censoring Weights
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coef(<landpred_model_continuous>) - Extract Coefficients from Landpred Continuous Model
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cumsum2() - Cumulative Sum Helper
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data_example_landpred - Hypothetical data to be used in examples.
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get_model() - Get Landpred Model
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helper.si() - Helper Function for AUC
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landpred.package - Landmark Prediction of a Survival Outcome
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landpred() - Create a Landpred Object
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mse.BW() - Optimize Bandwidth for Kernel Smoothing
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optimize.mse.BW() - Optimize Bandwidth (Legacy)
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optimize_bandwidth() - Optimize Bandwidth for Continuous Landpred Models
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predict(<landpred_model_continuous>) - Predict Method for Landpred Continuous Model
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predict(<landpred_model_discrete>) - Predict Method for Discrete Landpred Model
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print(<landpred_model_continuous>) - Print Method for Landpred Continuous Model
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print(<landpred_model_discrete>) - Print Method for Discrete Landpred Model
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print(<landpred_object>) - Print Method for Landpred Object
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prob2.single() - Calculate Single Probability Component
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summary(<landpred_model_continuous>) - Summary Method for Landpred Continuous Model
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summary(<landpred_object>) - Summary Method for Landpred Object