Lrnr_hal9001_semiparametric: Scalable Highly Adaptive Lasso (HAL) semiparametric

In Larsvanderlaan/causalGLM: Interpretable and robust causal inference for heterogeneous treatment effects using generalized linear models with targeted machine-learning.

Scalable Highly Adaptive Lasso (HAL) semiparametric

Description

Scalable Highly Adaptive Lasso (HAL) semiparametric

Scalable Highly Adaptive Lasso (HAL) semiparametric

Super class

sl3::Lrnr_base -> Lrnr_hal9001_semiparametric

Methods

Public methods

• Lrnr_hal9001_semiparametric$new()

• Lrnr_hal9001_semiparametric$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()

---

Method new()

Usage

Lrnr_hal9001_semiparametric$new(
  formula_sp,
  family = NULL,
  interaction_variable = "A",
  ...
)

---

Method clone()

The objects of this class are cloneable with this method.

Usage

Lrnr_hal9001_semiparametric$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

Larsvanderlaan/causalGLM documentation built on April 14, 2022, 12:51 a.m.