All functions 


ML model 

NB class object 

Naive Bayes 

Responder Average Treatment Effect 

Responder Average Treatment Effect 

SuperLearner wrapper for ml_model 

Predictive model scoring 

AIPW estimator 

Assumption Lean inference for generalized linear model parameters 

AIPW (doublyrobust) estimator for Average Treatement Effect 

calibration class object 

Calibration (training) 

Conditional Average Treatment Effect estimation 

Conditional Relative Risk estimation 

cross_validated class object 

Conditional Relative Risk estimation 

Crossvalidation 

Extract design matrix 

Create a list from all combination of input variables 

R6 class for prediction models 

Find nondominated points of a set 

Pooled Adjacent Violators Algorithm 

Predictions for Naive Bayes Classifier 

Prediction for kernel density estimates 

Risk regression 

Binary regression models with right censored outcomes 

Softmax transformation 

Solve ODE 

Extract model component from design object 

Specify Ordinary Differential Equation (ODE) 

targeted class object 