tmle3_Spec_mopttx_Q: Defines the Mean Under the Optimal Individualized Rule with...

In tlverse/tmle3mopttx: Targeted Maximum Likelihood Estimation of the Mean under Optimal Individualized Treatment

Defines the Mean Under the Optimal Individualized Rule with Categorical Treatment, estimated using Q learning (single step)

Description

Defines the Mean Under the Optimal Individualized Rule with Categorical Treatment, estimated using Q learning (single step)

Defines the Mean Under the Optimal Individualized Rule with Categorical Treatment, estimated using Q learning (single step)

Super class

tmle3::tmle3_Spec -> tmle3_Spec_mopttx_Q

Methods

Public methods

• tmle3_Spec_mopttx_Q$new()

• tmle3_Spec_mopttx_Q$vals_from_factor()

• tmle3_Spec_mopttx_Q$make_initial_likelihood_glm()

• tmle3_Spec_mopttx_Q$make_params()

• tmle3_Spec_mopttx_Q$estimate()

• tmle3_Spec_mopttx_Q$clone()

Inherited methods

• tmle3::tmle3_Spec$make_initial_likelihood()
• tmle3::tmle3_Spec$make_targeted_likelihood()
• tmle3::tmle3_Spec$make_tmle_task()
• tmle3::tmle3_Spec$make_updater()

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Method new()

Usage

tmle3_Spec_mopttx_Q$new(maximize = TRUE, ...)

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Method vals_from_factor()

Usage

tmle3_Spec_mopttx_Q$vals_from_factor(x)

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Method make_initial_likelihood_glm()

Usage

tmle3_Spec_mopttx_Q$make_initial_likelihood_glm(tmle_task)

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Method make_params()

Usage

tmle3_Spec_mopttx_Q$make_params(tmle_task, likelihood)

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Method estimate()

Usage

tmle3_Spec_mopttx_Q$estimate(tmle_params, tmle_task)

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Method clone()

The objects of this class are cloneable with this method.

Usage

tmle3_Spec_mopttx_Q$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

tlverse/tmle3mopttx documentation built on Aug. 9, 2022, 3:31 p.m.