SA_lookup

<code>SA_lookup()</code> is used to look up the sensitivity analysis results for a two-wave mediation model when provided with the cross-sectional correlations.

Create phantom variables, which are variables that were not observed, for the purpose of sensitivity analyses for structural equation models. The package makes it easier for a user to test different combinations of covariances between the phantom variable(s) and observed variables. The package may be used to assess a model's or effect's sensitivity to temporal bias (e.g., if cross-sectional data were collected) or confounding bias.

Alexis Georgeson

phantSEM

Create Phantom Variables in Structural Equation Models for
Sensitivity Analyses

SA_lookup function

<dl><dt>CorXM</dt>
<dd>The observed correlation between predictor X and mediator M.</dd>
<dt>CorXY</dt>
<dd>The observed correlation between predictor X and outcome Y.</dd>
<dt>CorMY</dt>
<dd>The observed correlation between mediator M and outcome Y.</dd></dl>

Arguments

Lookup Table for Sensitivity Analysis — SA_lookup

<dl>

<dt>CorXM</dt>
<dd>The observed correlation between predictor X and mediator M.</dd>


<dt>CorXY</dt>
<dd>The observed correlation between predictor X and outcome Y.</dd>


<dt>CorMY</dt>
<dd>The observed correlation between mediator M and outcome Y.</dd>

</dl>

SA_lookup: Lookup Table for Sensitivity Analysis

Description

Usage

Value

Arguments

Examples