semTests: Goodness-of-Fit Testing for Structural Equation Models

Supports eigenvalue block-averaging p-values (Foldnes, Grønneberg, 2018) <doi:10.1080/10705511.2017.1373021>, penalized eigenvalue block-averaging p-values (Foldnes, Moss, Grønneberg, WIP), penalized regression p-values (Foldnes, Moss, Grønneberg, WIP), 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.

Version: 0.5.0
Imports: lavaan (≥ 0.6-16), CompQuadForm, progressr, future.apply
Suggests: covr, testthat (≥ 3.0.0), psych
Published: 2024-01-18
Author: Jonas Moss ORCID iD [aut, cre], Njål Foldnes [ctb] (-12957), Steffen Grønneberg ORCID iD [ctb]
Maintainer: Jonas Moss <jonas.moss.statistics at>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README
CRAN checks: semTests results


Reference manual: semTests.pdf


Package source: semTests_0.5.0.tar.gz
Windows binaries: r-prerel:, r-release:, r-oldrel:
macOS binaries: r-prerel (arm64): semTests_0.5.0.tgz, r-release (arm64): semTests_0.5.0.tgz, r-oldrel (arm64): semTests_0.5.0.tgz, r-prerel (x86_64): semTests_0.5.0.tgz, r-release (x86_64): semTests_0.5.0.tgz


Please use the canonical form to link to this page.