R: Poisson Super Learner

# Poisson Super Learner

## Documentation for package ‘poissonsuperlearner’ version 0.1.1

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

## Help Pages

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
Learner_gam | GAM learner via 'mgcv::bam'
Learner_gam-class | GAM learner via 'mgcv::bam'
Learner_glmnet | Penalized Poisson learner via 'glmnet'
Learner_glmnet-class | Penalized Poisson learner via 'glmnet'
Learner_hal | HAL learner for piecewise Poisson hazards
Learner_hal-class | HAL learner for piecewise Poisson hazards
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
Superlearner | Fit a Poisson Super Learner ensemble