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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 |
DOI: | 10.32614/CRAN.package.semTests |
Author: | Jonas Moss |
Maintainer: | Jonas Moss <jonas.moss.statistics at gmail.com> |
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-devel: semTests_0.5.0.zip, r-release: semTests_0.5.0.zip, r-oldrel: semTests_0.5.0.zip |
macOS binaries: | r-release (arm64): semTests_0.5.0.tgz, r-oldrel (arm64): semTests_0.5.0.tgz, r-release (x86_64): semTests_0.5.0.tgz, r-oldrel (x86_64): semTests_0.5.0.tgz |
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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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