Package: phantSEM 1.0.0.0

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.

Authors:Alexis Georgeson [aut, cre, cph]

phantSEM_1.0.0.0.tar.gz
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phantSEM.pdf |phantSEM.html✨
phantSEM/json (API)

# Install 'phantSEM' in R:
install.packages('phantSEM', repos = c('https://argeorgeson.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/argeorgeson/phantsem/issues

On CRAN:

Conda:

3.70 score 7 scripts 174 downloads 5 exports 28 dependencies

Last updated 5 months agofrom:0ce4c04ccf. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 25 2025
R-4.5-winOKMar 25 2025
R-4.5-macOKMar 25 2025
R-4.5-linuxOKMar 25 2025
R-4.4-winOKMar 25 2025
R-4.4-macOKMar 25 2025
R-4.4-linuxOKMar 25 2025
R-4.3-winOKMar 25 2025
R-4.3-macOKMar 25 2025

Exports:ghost_par_estsSA_lookupSA_step1SA_step2SA_step3

Dependencies:clicorpcorcpp11dplyrfansigenericsgluelavaanlifecyclemagrittrMASSmnormtnumDerivpbivnormpillarpkgconfigpurrrquadprogR6rlangstringistringrtibbletidyrtidyselectutf8vctrswithr

phantSEM

Rendered frommy-vignette.Rmdusingknitr::rmarkdownon Mar 25 2025.

Last update: 2024-10-25
Started: 2023-03-17