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.

Version: 1.0.0.0
Depends: R (≥ 3.5.1)
Imports: tidyr (≥ 1.3.0), dplyr (≥ 1.1.0), corpcor (≥ 1.6.10), lavaan (≥ 0.6-11)
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0), devtools, tidyverse
Published: 2023-09-07
DOI: 10.32614/CRAN.package.phantSEM
Author: Alexis Georgeson ORCID iD [aut, cre, cph]
Maintainer: Alexis Georgeson <georgeson.alexis at gmail.com>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README
CRAN checks: phantSEM results

Documentation:

Reference manual: phantSEM.html , phantSEM.pdf
Vignettes: phantSEM (source, R code)

Downloads:

Package source: phantSEM_1.0.0.0.tar.gz
Windows binaries: r-devel: phantSEM_1.0.0.0.zip, r-release: phantSEM_1.0.0.0.zip, r-oldrel: phantSEM_1.0.0.0.zip
macOS binaries: r-release (arm64): phantSEM_1.0.0.0.tgz, r-oldrel (arm64): phantSEM_1.0.0.0.tgz, r-release (x86_64): phantSEM_1.0.0.0.tgz, r-oldrel (x86_64): phantSEM_1.0.0.0.tgz

Linking:

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