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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 (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.

Versions across snapshots

VersionRepositoryFileSize
0.2.0 rolling linux/jammy R-4.5 modelbpp_0.2.0.tar.gz 793.2 KiB
0.2.0 rolling linux/noble R-4.5 modelbpp_0.2.0.tar.gz 793.0 KiB
0.2.0 rolling source/ R- modelbpp_0.2.0.tar.gz 724.0 KiB
0.2.0 latest linux/jammy R-4.5 modelbpp_0.2.0.tar.gz 793.2 KiB
0.2.0 latest linux/noble R-4.5 modelbpp_0.2.0.tar.gz 793.0 KiB
0.2.0 latest source/ R- modelbpp_0.2.0.tar.gz 724.0 KiB
0.2.0 2026-04-26 source/ R- modelbpp_0.2.0.tar.gz 724.0 KiB
0.2.0 2026-04-23 source/ R- modelbpp_0.2.0.tar.gz 724.0 KiB
0.2.0 2026-04-09 windows/windows R-4.5 modelbpp_0.2.0.zip 807.5 KiB
0.1.5 2025-04-20 source/ R- modelbpp_0.1.5.tar.gz 1.0 MiB

Dependencies (latest)

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