weighted_mean

<code>weighted_mean</code> calculates a weighted mean, given a vector.

Provides functions for estimating natural direct and indirect effects for mediation analysis. It uses weighting where the weights are functions of estimates of the probability of exposure or treatment assignment (Hong, G (2010). <https://cepa.stanford.edu/sites/default/files/workshops/GH_JSM%20Proceedings%202010.pdf> Huber, M. (2014). <doi:10.1002/jae.2341>). Estimation of probabilities can use generalized boosting or logistic regression. Additional functions provide diagnostics of the model fit and weights. The vignette provides details and examples.

Dan McCaffrey

twangMediation

Twang Causal Mediation Modeling via Weighting

Katherine Castellano

Donna Coffman

Brian Vegetabile

Megan Schuler

Haoyu Zhou

weighted_mean function

<dl><dt>x</dt>
<dd>numeric
The the data set</dd>
<dt>weights</dt>
<dd>numeric
The weights</dd>
<dt>multiplier</dt>
<dd>An additional vector to multiply
Default : <code>NULL</code></dd>
<dt>na.rm</dt>
<dd>Whether to remove NA values.
Default: <code>TRUE</code></dd></dl>

Arguments

Calculate a weighted mean. — weighted_mean

<dl>

<dt>x</dt>
<dd>numeric
The the data set</dd>


<dt>weights</dt>
<dd>numeric
The weights</dd>


<dt>multiplier</dt>
<dd>An additional vector to multiply
Default : <code>NULL</code></dd>


<dt>na.rm</dt>
<dd>Whether to remove NA values.
Default: <code>TRUE</code></dd>

</dl>

weighted_mean: Calculate a weighted mean.

Description

Usage

Value

Arguments