ML                      ML model
RATE                    Responder Average Treatment Effect
RATE.surv               Responder Average Treatment Effect
SL                      SuperLearner wrapper for learner
aipw                    AIPW estimator
alean                   Assumption Lean inference for generalized
                        linear model parameters
ate                     AIPW (doubly-robust) estimator for Average
                        Treatment Effect
calibration             Calibration (training)
calibration-class       calibration class object
cate                    Conditional Average Treatment Effect estimation
cate_link               Conditional Relative Risk estimation
constructor_shared      Construct a learner
cross_validated-class   cross_validated class object
crr                     Conditional Relative Risk estimation
cumhaz                  Predict the cumulative hazard/survival function
                        for a survival model
cv.default              Cross-validation
cv.learner_sl           Cross-validation for learner_sl
deprecate_arg_warn      Cast warning for deprecated function argument
                        names
deprecated_argument_names
                        Deprecated argument names
design                  Extract design matrix
estimate_truncatedscore
                        Estimation of mean clinical outcome truncated
                        by event process
expand.list             Create a list from all combination of input
                        variables
int_surv                Integral approximation of a time dependent
                        function. Computes an approximation of
                        \int_start^stop S(t) dt, where S(t) is a
                        survival function, for a selection of start and
                        stop time points.
learner                 R6 class for prediction models
learner_expand_grid     Construct learners from a grid of parameters
learner_gam             Construct a learner
learner_glm             Construct a learner
learner_glmnet_cv       Construct a learner
learner_grf             Construct a learner
learner_hal             Construct a learner
learner_isoreg          Construct a learner
learner_mars            Construct a learner
learner_naivebayes      Construct a learner
learner_sl              Construct a learner
learner_stratify        Construct stratified learner
learner_svm             Construct a learner
learner_xgboost         Construct a learner
ml_model                R6 class for prediction models
naivebayes              Naive Bayes classifier
naivebayes-class        naivebayes class object
nondom                  Find non-dominated points of a set
pava                    Pooled Adjacent Violators Algorithm
predict.density         Prediction for kernel density estimates
predict.naivebayes      Predictions for Naive Bayes Classifier
predict.superlearner    Predict Method for superlearner Fits
riskreg                 Risk regression
riskreg_cens            Binary regression models with right censored
                        outcomes
score.superlearner      Extract average cross-validated score of
                        individual learners
scoring                 Predictive model scoring
softmax                 Softmax transformation
solve_ode               Solve ODE
specify_ode             Specify Ordinary Differential Equation (ODE)
stratify                Identify Stratification Variables
superlearner            Superlearner (stacked/ensemble learner)
targeted-class          targeted class object
terms.design            Extract model component from design object
test_intersection_sw    Signed Wald intersection test
test_zmax_onesided      One-sided Zmax test
truncatedscore          Scores truncated by death
weights.superlearner    Extract ensemble weights
