The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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: |
0.1.5 |
| Depends: |
R (≥ 4.0.0) |
| Imports: |
lavaan, parallel, pbapply, igraph, manymome |
| Suggests: |
knitr, rmarkdown, tinytest |
| Published: |
2024-09-16 |
| 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 |
| Materials: |
README NEWS |
| CRAN checks: |
modelbpp results |
Documentation:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=modelbpp
to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.