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semTests: Robust Test Statistics for Structural Equation Models

Supports penalized eigenvalue block-averaging and penalized regression p-values (Foldnes, Moss, Grønneberg, 2024) <doi:10.1080/10705511.2024.2372028>, including their extension to nested model comparison (Foldnes, Grønneberg, Moss, 2026) <doi:10.3758/s13428-026-02968-4>, as well as traditional p-values such as Satorra-Bentler. All p-values can be calculated using unbiased or biased gamma estimates (Du, Bentler, 2022) <doi:10.1080/10705511.2022.2063870> and two choices of chi square statistics. The tests apply to any minimum-discrepancy estimator – ML, GLS, ULS, and categorical WLSMV/DWLS – with experimental support for full-information maximum-likelihood (FIML) fits under missing data.

Version: 0.9.0
Depends: R (≥ 3.5.0)
Imports: lavaan (≥ 0.6-16), methods
Suggests: testthat (≥ 3.0.0), covr, xml2, knitr, rmarkdown
Published: 2026-06-09
DOI: 10.32614/CRAN.package.semTests
Author: Jonas Moss ORCID iD [aut, cre], Njål Foldnes ORCID iD [ctb], Steffen Grønneberg ORCID iD [ctb]
Maintainer: Jonas Moss <jonas.moss.statistics at gmail.com>
License: GPL (≥ 3)
URL: https://github.com/JonasMoss/semTests
NeedsCompilation: no
Citation: semTests citation info
Materials: README, NEWS
CRAN checks: semTests results

Documentation:

Reference manual: semTests.html , semTests.pdf
Vignettes: Robust test statistics with semTests (source, R code)

Downloads:

Package source: semTests_0.9.0.tar.gz
Windows binaries: r-devel: semTests_0.7.1.zip, r-release: semTests_0.7.1.zip, r-oldrel: semTests_0.7.1.zip
macOS binaries: r-release (arm64): semTests_0.9.0.tgz, r-oldrel (arm64): semTests_0.9.0.tgz, r-release (x86_64): semTests_0.9.0.tgz, r-oldrel (x86_64): semTests_0.9.0.tgz
Old sources: semTests archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=semTests to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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