terms.design

Extract model component from design object

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>),
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

terms.design function

<dl><dt>x</dt>
<dd>design object</dd>
<dt>specials</dt>
<dd>extract variables marked as special
(e.g., "offset", "weights", ...)</dd>
<dt>...</dt>
<dd>Additional arguments to lower level functions</dd></dl>

Arguments

Extract model component from design object — terms.design

<dl>

<dt>x</dt>
<dd>design object</dd>


<dt>specials</dt>
<dd>extract variables marked as special
(e.g., "offset", "weights", ...)</dd>


<dt>...</dt>
<dd>Additional arguments to lower level functions</dd>

</dl>

terms.design: Extract model component from design object

Description

Usage

Arguments