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 [aut, cre, cph] |
Maintainer: | Alexis Georgeson <georgeson.alexis at gmail.com> |
License: | MIT + file LICENSE |
NeedsCompilation: | no |
Materials: | README |
CRAN checks: | phantSEM results |
Reference manual: | phantSEM.pdf |
Vignettes: |
phantSEM |
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 |
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