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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 CheungORCID iD [aut, cre], Huiping Wu [aut], Shing On LeungORCID iD [aut], Ivan Jacob Agaloos PesiganORCID 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:

Please use the canonical formhttps://CRAN.R-project.org/package=modelbppto link to this page.


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