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    <title>Average Treatment Effects on Klaus K. Holst</title>
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      <title>Targeted Inference `targeted`</title>
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      <pubDate>Mon, 01 Sep 2025 00:00:00 +0200</pubDate>
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      <description>&lt;p&gt;The `targeted` package implements various methods for targeted learning and
semiparametric inference including augmented inverse probability weighted (AIPW)
estimators for missing data and causal inference (Bang and Robins (2005)
&amp;lt;doi:10.1111/j.1541-0420.2005.00377.x&amp;gt;), variable importance and conditional
average treatment effects (CATE) (van der Laan (2006)
&amp;lt;doi:10.2202/1557-4679.1008&amp;gt;), estimators for risk differences and relative
risks (Richardson et al. (2017) &amp;lt;doi:10.1080/01621459.2016.1192546&amp;gt;), assumption
lean inference for generalized linear model parameters (Vansteelandt et al.
(2022) &amp;lt;doi:10.1111/rssb.12504&amp;gt;).&lt;/p&gt;</description>
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