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_0.7.1.tgz, r-oldrel (arm64): semTests_0.7.1.tgz, r-release (x86_64): semTests_0.7.1.tgz, r-oldrel (x86_64): semTests_0.7.1.tgz
Old sources: semTests archive

Linking:

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