Learner_gam-class       GAM learner via 'mgcv::bam'
Learner_glmnet-class    Penalized Poisson learner via 'glmnet'
Learner_hal-class       HAL learner for piecewise Poisson hazards
Superlearner            Fit a Poisson Super Learner ensemble
coef.base_learner       Extract coefficients from a fitted base learner
coef.poisson_superlearner
                        Extract stacking (meta-learner) coefficients
                        from a fitted Poisson Super Learner
fit_learner             Fit a single base learner
pch_absolute_risk       Absolute risk (cumulative incidence) for a
                        cause under piecewise-constant hazards
pch_absolute_risk_euler
                        Absolute risk (Euler approximation) for a cause
                        under piecewise-constant hazards
pch_survival            Piecewise-constant hazards survival function
predict.base_learner    Predict hazards, survival and absolute risk
                        from a fitted base learner
predict.poisson_superlearner
                        Predict hazards, survival and absolute risk
                        from a fitted Poisson Super Learner
predictRisk.base_learner
                        Absolute-risk matrix predictions for a fitted
                        base learner
predictRisk.poisson_superlearner
                        Absolute-risk matrix predictions for a fitted
                        Poisson Super Learner
print.base_learner      Print method for 'base_learner'
print.poisson_superlearner
                        Print method for 'poisson_superlearner'
simulateStenoT1         Simulate time-to-event data for hypothetical
                        type-1 diabetes patients
summary.base_learner    Summarize a fitted base learner object
summary.poisson_superlearner
                        Summarize a fitted Poisson Super Learner object
