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fit_LOCF_landmark()
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Fit a landmark model using a last observation carried forward (LOCF) method for the longitudinal data |
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fit_LME_landmark()
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Fit a landmarking model using a linear mixed effects (LME) model for the longitudinal submodel |
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add_cv_number()
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Assign a k-fold cross-validation number |
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return_ids_with_LOCF()
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Select individuals in a dataset with a last observation carried forward (LOCF) at a landmark time |
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find_LOCF_risk_set()
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Find the risk set for a landmark model (LOCF) |
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find_LME_risk_set()
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Find the risk set for a landmark model (LME) |
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fit_LOCF_longitudinal()
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Find the last observation carried forward (LOCF) values for covariates in a dataset |
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fit_LME_longitudinal()
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Fit a landmarking model using a linear mixed effects (LME) model for the longitudinal data |
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fit_survival_model()
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Fit a survival sub-model as part of a landmarking analysis |
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get_model_assessment()
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Compute C-index and Brier score |
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predict(<landmark>)
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Predict the risk of an event for a new individual using the landmark model |
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plot(<landmark>)
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Create a calibration plot |
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mixoutsamp()
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Calculate point estimates from a linear mixed effects (LME) model for new data |