# Targeted Inference

## Documentation for package ‘targeted’ version 0.5

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Code demos. Use demo() to run them.
- Package NEWS.

## Help Pages

aipw | AIPW estimator
alean | Assumption Lean inference for generalized linear model parameters
ate | AIPW (doubly-robust) estimator for Average Treatement Effect
ate.targeted | targeted class object
calibrate | Calibration (training)
calibration | Calibration (training)
calibration-class | calibration class object
cate | Conditional Average Treatment Effect estimation
cate_link | Conditional Relative Risk estimation
cross_validated | cross_validated class object
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
isoreg | Pooled Adjacent Violators Algorithm
isoregw | Pooled Adjacent Violators Algorithm
ML | ML model
ml_model | R6 class for prediction models
NB | Naive Bayes
NB-class | NB class object
NB2 | Naive Bayes
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.targeted | targeted class object
riskreg_cens | Binary regression models with right censored outcomes
riskreg_fit | Risk regression
riskreg_mle | Risk regression
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