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 |
| Maintainer: | Alexis Georgeson <georgeson.alexis at gmail.com> |
| License: | MIT + fileLICENSE |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | phantSEM results |
| Reference manual: | phantSEM.html ,phantSEM.pdf |
| Vignettes: | phantSEM (source,R code) |
| 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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