phantSEM-package: phantSEM: Create Phantom Variables in Structural Equation...
In phantSEM: Create Phantom Variables in Structural Equation Models for Sensitivity Analyses
phantSEM-package R Documentation
phantSEM: Create Phantom Variables in Structural Equation Models for Sensitivity Analyses
Description
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.
Author(s)
Maintainer: Alexis Georgeson georgeson.alexis@gmail.com (ORCID) [copyright holder]
phantSEM documentation built on Sept. 8, 2023, 6:12 p.m.
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| phantSEM-package | R Documentation |
phantSEM: Create Phantom Variables in Structural Equation Models for Sensitivity Analyses
Description
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.
Author(s)
Maintainer: Alexis Georgeson georgeson.alexis@gmail.com (ORCID) [copyright holder]
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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