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 | 
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