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phantSEM
View on CRAN: Click
here
Download and install phantSEM package within the R console
Install from CRAN:
install.packages("phantSEM")
Install from Github:
library("remotes")
install_github("cran/phantSEM")
Install by package version:
library("remotes")
install_version("phantSEM", "1.0.0.0")
Attach the package and use:
library("phantSEM")
Maintained by
Alexis Georgeson
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.phantSEM . phantSEM results . phantSEM.pdf . phantSEM . phantSEM_1.0.0.0.tar.gz . phantSEM_1.0.0.0.zip . phantSEM_1.0.0.0.zip . phantSEM_1.0.0.0.zip . phantSEM_1.0.0.0.tgz . phantSEM_1.0.0.0.tgz . phantSEM_1.0.0.0.tgz . phantSEM_1.0.0.0.tgz . phantSEM_1.0.0.0.tgz . phantSEM_1.0.0.0.tgz . https://CRAN.R-project.org/package=phantSEM .
First Published: 2023-09-07
Latest Update: 2023-09-07
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.
How to cite:
Alexis Georgeson (2023). phantSEM: Create Phantom Variables in Structural Equation Models for Sensitivity Analyses. R package version 1.0.0.0, https://cran.r-project.org/web/packages/phantSEM. Accessed 04 Apr. 2025.
Previous versions and publish date:
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imports, suggests or enhances
Complete documentation for phantSEM
Functions, R codes and Examples using
the phantSEM R package
Some associated functions: SA_lookup . SA_step1 . SA_step2 . SA_step3 . ghost_par_ests . phantSEM-package .
Some associated R codes: SA_lookup.R . SA_step1.R . SA_step2.R . SA_step3.R . ghost_par_ests.R . phantSEM-package.R . Full phantSEM package functions and examples
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