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
phantSEM_1.0.0.0.zip(r-4.5)phantSEM_1.0.0.0.zip(r-4.4)phantSEM_1.0.0.0.zip(r-4.3)
phantSEM_1.0.0.0.tgz(r-4.4-any)phantSEM_1.0.0.0.tgz(r-4.3-any)
phantSEM_1.0.0.0.tar.gz(r-4.5-noble)phantSEM_1.0.0.0.tar.gz(r-4.4-noble)
phantSEM_1.0.0.0.tgz(r-4.4-emscripten)phantSEM_1.0.0.0.tgz(r-4.3-emscripten)
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:

5 exports 0.83 score 28 dependencies 7 scripts 158 downloads

Last updated 1 years agofrom:6556c82909. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 02 2024
R-4.5-winOKSep 02 2024
R-4.5-linuxOKSep 02 2024
R-4.4-winOKSep 02 2024
R-4.4-macOKSep 02 2024
R-4.3-winOKSep 02 2024
R-4.3-macOKSep 02 2024

Exports:ghost_par_estsSA_lookupSA_step1SA_step2SA_step3

Dependencies:clicorpcorcpp11dplyrfansigenericsgluelavaanlifecyclemagrittrMASSmnormtnumDerivpbivnormpillarpkgconfigpurrrquadprogR6rlangstringistringrtibbletidyrtidyselectutf8vctrswithr

phantSEM

Rendered frommy-vignette.Rmdusingknitr::rmarkdownon Sep 02 2024.

Last update: 2023-09-06
Started: 2023-03-17