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phantSEM: Create Phantom Variables in Structural Equation Models for Sensitivity Analyses
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.
Getting started
Browse package contents
Package details |
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| Author | Alexis Georgeson [aut, cre, cph] (<https://orcid.org/0000-0002-6426-9258>) |
| Maintainer | Alexis Georgeson <georgeson.alexis@gmail.com> |
| License | MIT + file LICENSE |
| Version | 1.0.0.0 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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