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_1.0.0.0.tgz(r-4.4-any)phantSEM_1.0.0.0.tgz(r-4.3-any)
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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'))

Peer review:

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

On CRAN:

3.70 score 7 scripts 140 downloads 5 exports 28 dependencies

Last updated 28 days agofrom:0ce4c04ccf. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 26 2024
R-4.5-winOKOct 26 2024
R-4.5-linuxOKOct 26 2024
R-4.4-winOKOct 26 2024
R-4.4-macOKOct 26 2024
R-4.3-winOKOct 26 2024
R-4.3-macOKOct 26 2024

Exports:ghost_par_estsSA_lookupSA_step1SA_step2SA_step3

Dependencies:clicorpcorcpp11dplyrfansigenericsgluelavaanlifecyclemagrittrMASSmnormtnumDerivpbivnormpillarpkgconfigpurrrquadprogR6rlangstringistringrtibbletidyrtidyselectutf8vctrswithr

phantSEM

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