modelbpp: Model BIC Posterior Probability

Fits the neighboring models of a fitted structural equation model and assesses the model uncertainty of the fitted model based on BIC posterior probabilities, using the method presented in Wu, Cheung, and Leung (2020) <doi:10.1080/00273171.2019.1574546>.

Version: 0.1.3
Depends: R (≥ 4.0.0)
Imports: lavaan, parallel, pbapply, igraph
Suggests: knitr, rmarkdown, tinytest
Published: 2024-02-20
DOI: 10.32614/CRAN.package.modelbpp
Author: Shu Fai Cheung ORCID iD [aut, cre], Huiping Wu [aut], Shing On Leung ORCID iD [aut], Ivan Jacob Agaloos Pesigan ORCID iD [ctb]
Maintainer: Shu Fai Cheung <shufai.cheung at>
License: GPL (≥ 3)
NeedsCompilation: no
Materials: README NEWS
CRAN checks: modelbpp results


Reference manual: modelbpp.pdf
Vignettes: Get Started


Package source: modelbpp_0.1.3.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): modelbpp_0.1.3.tgz, r-oldrel (arm64): modelbpp_0.1.3.tgz, r-release (x86_64): modelbpp_0.1.3.tgz, r-oldrel (x86_64): modelbpp_0.1.3.tgz
Old sources: modelbpp archive


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