softmax

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

Andreas Nordland

softmax function

<dl><dt>x</dt>
<dd>Input matrix (e.g., linear predictors of multinomial logistic model)</dd>
<dt>log</dt>
<dd>Return on log-scale (default FALSE)</dd>
<dt>ref</dt>
<dd>Add reference level (add 0 column to x)</dd>
<dt>...</dt>
<dd>Additional arguments to lower level functions</dd></dl>

Arguments

Softmax transformation — softmax

<dl>

<dt>x</dt>
<dd>Input matrix (e.g., linear predictors of multinomial logistic model)</dd>


<dt>log</dt>
<dd>Return on log-scale (default FALSE)</dd>


<dt>ref</dt>
<dd>Add reference level (add 0 column to x)</dd>


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

</dl>

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softmax: Softmax transformation

Description

Usage

Value

Arguments