Lrnr_crr_IPW Class

This class defines a inverse probability weighted (IPW) meta-learner of the conditional relative average treatment effect (crr).

Format

An R6 class with public methods to initialize the learner, create a regression task, and access the base learner.

Super classes

sl3::Lrnr_base -> hte3::Lrnr_hte -> Lrnr_crr_IPW

Methods

Public methods

• Lrnr_crr_IPW$new()

• Lrnr_crr_IPW$get_pseudo_data()

• Lrnr_crr_IPW$clone()

Inherited methods

• sl3::Lrnr_base$assert_trained()
• sl3::Lrnr_base$base_chain()
• sl3::Lrnr_base$base_predict()
• sl3::Lrnr_base$base_train()
• sl3::Lrnr_base$chain()
• sl3::Lrnr_base$custom_chain()
• sl3::Lrnr_base$get_outcome_range()
• sl3::Lrnr_base$get_outcome_type()
• sl3::Lrnr_base$predict()
• sl3::Lrnr_base$predict_fold()
• sl3::Lrnr_base$print()
• sl3::Lrnr_base$process_formula()
• sl3::Lrnr_base$reparameterize()
• sl3::Lrnr_base$retrain()
• sl3::Lrnr_base$sample()
• sl3::Lrnr_base$set_train()
• sl3::Lrnr_base$subset_covariates()
• sl3::Lrnr_base$train()
• sl3::Lrnr_base$train_sublearners()
• hte3::Lrnr_hte$check_treatment_type()
• hte3::Lrnr_hte$get_modifiers()
• hte3::Lrnr_hte$make_metalearner_task()

---

Method new()

Usage

Lrnr_crr_IPW$new(
  base_learner,
  treatment_level = NULL,
  control_level = NULL,
  ...
)

Arguments

base_learner

A sl3 learner object inheriting from Lrnr_base that specifies the base supervised learning algorithm used by the meta-learner.

---

Method get_pseudo_data()

Usage

Lrnr_crr_IPW$get_pseudo_data(
  hte3_task,
  treatment_level = NULL,
  control_level = NULL,
  train = TRUE,
  ...
)

---

Method clone()

The objects of this class are cloneable with this method.

Usage

Lrnr_crr_IPW$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.