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, 2024) <doi:10.1080/10705511.2024.2372028>, penalized
regression p-values (Foldnes, Moss, Grønneberg, 2024) <doi:10.1080/10705511.2024.2372028>, 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: |
0.7.1 |
| Depends: |
R (≥ 3.5.0) |
| Imports: |
lavaan (≥ 0.6-16), CompQuadForm, RSpectra, MASS, Matrix, methods |
| Suggests: |
covr, testthat (≥ 3.0.0), psych |
| Published: |
2025-10-09 |
| DOI: |
10.32614/CRAN.package.semTests |
| Author: |
Jonas Moss  [aut,
cre],
Njål Foldnes
[ctb],
Steffen Grønneberg
[ctb] |
| Maintainer: |
Jonas Moss <jonas.moss.statistics at gmail.com> |
| License: |
GPL (≥ 3) |
| URL: |
https://github.com/JonasMoss/semTests |
| NeedsCompilation: |
no |
| Materials: |
README |
| CRAN checks: |
semTests results |
Documentation:
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