Make predictions for time-varying covariates at specified landmark times

Usage

predict_longitudinal(
  x,
  landmarks,
  method,
  dynamic_covariates,
  validation_fold = 0,
  ...
)

x: An object of class LandmarkAnalysis.
landmarks: A numeric vector of landmark times.
method: Longitudinal data analysis method used to make predictions
dynamic_covariates: Vector of time-varying covariates to be modelled as the outcome of a longitudinal model.
validation_fold: If positive, cross-validation fold where model is fitted. If 0 (default), model fitting is performed in the complete dataset.
...: Additional arguments passed to the prediction function (e.g. number of classes/clusters for lcmm).

An object of class LandmarkAnalysis.