<code>SL()</code> has been removed. Use learner_sl instead.

Various methods for targeted and semiparametric inference including
augmented inverse probability weighted (AIPW) estimators for missing data and
causal inference (Bang and Robins (2005) <doi:10.1111/j.1541-0420.2005.00377.x>),
one-step imputation (Nordland et al (2026)) <doi:10.48550/arXiv.2606.07174>),
variable importance and conditional average treatment effects (CATE)
(van der Laan (2006) <doi:10.2202/1557-4679.1008>),
estimators for risk differences and relative risks (Richardson et al. (2017)
<doi:10.1080/01621459.2016.1192546>), assumption lean inference for generalized
linear model parameters (Vansteelandt et al. (2022) <doi:10.1111/rssb.12504>).

Klaus Holst

targeted

Targeted Inference

Klaus K. Holst

Benedikt Sommer

Andreas Nordland

Christian B. Pipper

SL function

<dl><dt>...</dt>
<dd>Ignored.</dd></dl>

Arguments

Author

SuperLearner wrapper for learner (defunct) — SL

<dl>

<dt>...</dt>
<dd>Ignored.</dd>

</dl>

SL: SuperLearner wrapper for learner (defunct)

Description

Usage

Arguments

Author