# targeted 0.3

- Conditional average treatment estimator `cate`, `crr`
- Generic prediction model class `ml_model`
- design
- SuperLearner wrapper `SL`
- Average Treatment among responders `RATE`

# targeted 0.2.0

- Weighted Naive Bayes classifer with `NB`
- Pooled adjacent violator algorithm `pava`
- ODE solver `ode_solve`
- Calibration  `calibration`
- Cross-validation `cv`
- `ace` method updated and renamed to `ate`

# targeted 0.1.1

- Maintenance release.

# targeted 0.1

- Initialization of the new package `targeted` with implementation
  of augmented inverse probability weighting methods for estimation
  with missing data and causal inference (`aipw`, `ace`), and
  double robust methods for risk regression with binary exposure
  variables (`riskreg`).
