Time-to-Event Landmark Analysis using an Array of Longitudinal and Survival Sub-Models

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Documentation for package ‘landmaRk’ version 0.1.1

• DESCRIPTION file
• User guides, package vignettes and other documentation
• Package NEWS
• Package README

Help Pages

check_lcmm_convergence	Checks convergence of lcmm models
compute_risk_sets	Compute the list of individuals at risk at landmark times
compute_risk_sets-method	Compute the list of individuals at risk at landmark times
epileptic	Dose calibration of anti-epileptic drugs data
fit_longitudinal	Fits the specified longitudinal model for time-varying covariates up to the landmark times
fit_longitudinal-method	Fits the specified longitudinal model for time-varying covariates up to the landmark times
fit_survival	Fits the specified survival model at the landmark times and up to the horizon times specified by the user
fit_survival-method	Fits the specified survival model at the landmark times and up to the horizon times specified by the user
LandmarkAnalysis	Creates an S4 class for a landmarking analysis
LandmarkAnalysis-class	S4 class for performing a landmarking analysis
performance_metrics	Performance metrics
performance_metrics-method	Performance metrics
plot-method	Plot longitudinal observations and predicted survival curve for one individual
predict_longitudinal	Make predictions for time-varying covariates at specified landmark times
predict_longitudinal-method	Make predictions for time-varying covariates at specified landmark times
predict_survival	Make predictions for time-to-event outcomes at specified horizon times
predict_survival-method	Make predictions for time-to-event outcomes at specified horizon times
prune	Prunes a landmark time from a 'LandmarkAnalysis', removing the risk set, longitudinal submodel and survival submodel from the object.
prune-method	Prunes a landmark time from a 'LandmarkAnalysis', removing the risk set, longitudinal submodel and survival submodel from the object.
prune_risk_sets	Prune a set of individuals from a risk set
prune_risk_sets-method	Prune a set of individuals from a risk set
show-method	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-method	Summarise a LandmarkAnalysis object