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: 0.1.6
Depends: R (≥ 4.0.0)
Imports: lavaan, parallel, pbapply, igraph, manymome
Suggests: knitr, rmarkdown, tinytest
Published: 2025-09-24
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 gmail.com>
BugReports: https://github.com/sfcheung/modelbpp/issues
License: GPL (≥ 3)
URL: https://sfcheung.github.io/modelbpp/
NeedsCompilation: no
Materials: README, NEWS
CRAN checks: modelbpp results

Documentation:

Reference manual: modelbpp.html , modelbpp.pdf
Vignettes: Get Started (source)

Downloads:

Package source: modelbpp_0.1.6.tar.gz
Windows binaries: r-devel: modelbpp_0.1.6.zip, r-release: modelbpp_0.1.6.zip, r-oldrel: modelbpp_0.1.6.zip
macOS binaries: r-release (arm64): modelbpp_0.1.6.tgz, r-oldrel (arm64): modelbpp_0.1.6.tgz, r-release (x86_64): modelbpp_0.1.6.tgz, r-oldrel (x86_64): modelbpp_0.1.6.tgz
Old sources: modelbpp archive

Linking:

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