blipVarianceTMLEContinuousY: Compute TMLE on the variance of CATE (continuous Y)

In wilsoncai1992/TMLEbootstrap: Bootstrap Confidence Intervals for Targeted Maximum Likelihood Estimators

Description

inherit the initial fit routine from ateTMLE replace initial fit with continuous hal9001; rescales Y into (0,1) before TMLE; scales the Psi, EIC, CI back to the original scale after the TMLE scale Y to (0,1)

Super classes

TMLEbootstrap::ateTMLE -> TMLEbootstrap::blipVarianceTMLE -> blipVarianceTMLEContinuousY

Methods

Public methods

• blipVarianceTMLEContinuousY$scale_outcome()

• blipVarianceTMLEContinuousY$scale_back_after_tmle()

• blipVarianceTMLEContinuousY$initial_fit()

• blipVarianceTMLEContinuousY$target()

• blipVarianceTMLEContinuousY$inference_without_target()

• blipVarianceTMLEContinuousY$clone()

Inherited methods

• TMLEbootstrap::ateTMLE$initial_fit_pen_likeli()

• TMLEbootstrap::ateTMLE$initialize()

• TMLEbootstrap::ateTMLE$plot_Q1W()

• TMLEbootstrap::blipVarianceTMLE$compute_EIC()

• TMLEbootstrap::blipVarianceTMLE$compute_min_phi_ratio()

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Method scale_outcome()

Usage

blipVarianceTMLEContinuousY$scale_outcome()

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Method scale_back_after_tmle()

Usage

blipVarianceTMLEContinuousY$scale_back_after_tmle()

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Method initial_fit()

Usage

blipVarianceTMLEContinuousY$initial_fit(...)

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Method target()

Usage

blipVarianceTMLEContinuousY$target()

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Method inference_without_target()

Usage

blipVarianceTMLEContinuousY$inference_without_target()

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Method clone()

The objects of this class are cloneable with this method.

Usage

blipVarianceTMLEContinuousY$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

wilsoncai1992/TMLEbootstrap documentation built on Feb. 27, 2021, 7:57 a.m.