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 (BPP), using the method presented in
Wu, Cheung, and Leung (2020)
<doi:10.1080/00273171.2019.1574546>. See
Pesigan, Cheung, Wu, Chang, and Leung (2026)
<doi:10.3758/s13428-025-02921-x> for an introduction to
the package.
| Version: |
0.2.0 |
| Depends: |
R (≥ 4.0.0) |
| Imports: |
lavaan, parallel, pbapply, igraph, manymome |
| Suggests: |
knitr, rmarkdown, tinytest |
| Published: |
2026-03-01 |
| DOI: |
10.32614/CRAN.package.modelbpp |
| Author: |
Shu Fai Cheung 
[aut, cre],
Huiping Wu [aut],
Shing On Leung
[aut],
Ivan Jacob Agaloos Pesigan
[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 |
| Citation: |
modelbpp citation info |
| Materials: |
README, NEWS |
| CRAN checks: |
modelbpp results |
Documentation:
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