Package: semTests 0.7.1

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, 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.

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

semTests_0.7.1.tar.gz
semTests_0.7.1.zip(r-4.7)semTests_0.7.1.zip(r-4.6)semTests_0.7.1.zip(r-4.5)
semTests_0.7.1.tgz(r-4.6-any)semTests_0.7.1.tgz(r-4.5-any)
semTests_0.7.1.tar.gz(r-4.7-any)semTests_0.7.1.tar.gz(r-4.6-any)
semTests_0.7.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
semTests/json (API)

# Install 'semTests' in R:

install.packages('semTests', repos = c('https://jonasmoss.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/jonasmoss/semtests/issues

On CRAN:

3.19 score 31 scripts 168 downloads 2 exports 20 dependencies

Last updated from:529f261d92. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	120
source / vignettes	OK	163
linux-release-x86_64	OK	116
macos-release-arm64	OK	111
macos-oldrel-arm64	OK	88
windows-devel	OK	75
windows-release	OK	91
windows-oldrel	OK	71
wasm-release	OK	105