Man pages for targeted
Targeted Inference
| aipw | AIPW estimator |
| alean | Assumption Lean inference for generalized linear model... |
| ate | AIPW (doubly-robust) estimator for Average Treatement Effect |
| calibration | Calibration (training) |
| calibration-class | calibration class object |
| cate | Conditional Average Treatment Effect estimation |
| cate_link | Conditional Relative Risk estimation |
| cross_validated-class | cross_validated class object |
| crr | Conditional Relative Risk estimation |
| cv | Cross-validation |
| design | Extract design matrix |
| expand.list | Create a list from all combination of input variables |
| ML | ML model |
| ml_model | R6 class for prediction models |
| NB | Naive Bayes |
| NB-class | NB class object |
| nondom | Find non-dominated points of a set |
| pava | Pooled Adjacent Violators Algorithm |
| predict.density | Prediction for kernel density estimates |
| predict.NB | Predictions for Naive Bayes Classifier |
| RATE | Responder Average Treatment Effect |
| RATE.surv | Responder Average Treatment Effect |
| riskreg | Risk regression |
| riskreg_cens | Binary regression models with right censored outcomes |
| Scoring | Predictive model scoring |
| SL | SuperLearner wrapper for ml_model |
| softmax | Softmax transformation |
| solve_ode | Solve ODE |
| specify_ode | Specify Ordinary Differential Equation (ODE) |
| targeted-class | targeted class object |
| targeted-package | targeted: Targeted Inference |
