check_missing

<code>check_missing</code> raises an error if the data contains
NA or NAN values.

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

check_missing function

<dl><dt>x</dt>
<dd>numeric
The data set to check for NA or NAN values.</dd></dl>

Arguments

Check vector for NA or NAN values — check_missing

<dl>

<dt>x</dt>
<dd>numeric
The data set to check for NA or NAN values.</dd>

</dl>

check_missing: Check vector for NA or NAN values

Description

Usage

Value

Arguments