Package: semTests 0.5.0

Jonas Moss

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.

Authors:Jonas Moss [aut, cre], Njål Foldnes [ctb], Steffen Grønneberg [ctb]

semTests_0.5.0.tar.gz
semTests_0.5.0.tar.gz(r-4.5-noble)semTests_0.5.0.tar.gz(r-4.4-noble)
semTests_0.5.0.tgz(r-4.4-emscripten)semTests_0.5.0.tgz(r-4.3-emscripten)
semTests.pdf |semTests.html
semTests/json (API)

# Install 'semTests' in R:
install.packages('semTests', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1 exports 0.00 score 15 dependencies 1 scripts 27 downloads

Last updated 8 months agofrom:2465b15ed9. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 15 2024
R-4.5-linuxOKSep 15 2024

Exports:pvalues

Dependencies:codetoolsCompQuadFormdigestfuturefuture.applyglobalslavaanlistenvMASSmnormtnumDerivparallellypbivnormprogressrquadprog