Illustrative dataset: pbc2 dataset | Data management | Specification of the models for the time-dependent predictors | Random forest building | Out-Of-Bag error | Individual prediction of the outcome | Predictiveness of the variables | Variable importance | Minimal depth | Guidelines to tune the hyperparameters | References

The tree building | Individual prediction of the outcome | Out-Of-Bag individual prediction | Individual dynamic prediction from a landmark time | Out-Of-Bag prediction error | Explore the most predictive variables | Variable importance | Minimal depth | References

Illustrative dataset: pbc2 dataset | Data management | The random forest building | Out-Of-Bag error | Prediction of the outcome | Predictiveness variables | Variable importance | Minimal depth | References

Illustrative dataset: data_simu1 and data_simu2 datasets | Data management | The random forest building | Out-Of-Bag error | Prediction of the outcome | Predictiveness of the variables

dynforest() function | Arguments | Values | Additional information about the dependencies | predict() function | References