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mmibain

Bayesian Informative Hypotheses Evaluation Web Applications

Researchers often have expectations about the relations between means of different groups or standardized regression coefficients; using informative hypothesis testing to incorporate these expectations into the analysis through order constraints increases statistical power Vanbrabant and Rosseel (2020) <doi:10.4324/9780429273872-14>. Another valuable tool, the Bayes factor, can evaluate evidence for multiple hypotheses without concerns about multiple testing, and can be used in Bayesian updating Hoijtink, Mulder, van Lissa & Gu (2019) <doi:10.1037/met0000201>. The 'bain' R package enables informative hypothesis testing using the Bayes factor. The 'mmibain' package provides 'shiny' web applications based on 'bain'. The RepliCrisis() function launches a 'shiny' card game to simulate the evaluation of replication studies while the mmibain() function launches a 'shiny' application to fit Bayesian informative hypotheses evaluation models from 'bain'.

Versions across snapshots

VersionRepositoryFileSize
0.2.0 rolling linux/jammy R-4.5 mmibain_0.2.0.tar.gz 1.8 MiB
0.2.0 rolling linux/noble R-4.5 mmibain_0.2.0.tar.gz 1.8 MiB
0.2.0 rolling source/ R- mmibain_0.2.0.tar.gz 1.8 MiB
0.2.0 latest linux/jammy R-4.5 mmibain_0.2.0.tar.gz 1.8 MiB
0.2.0 latest linux/noble R-4.5 mmibain_0.2.0.tar.gz 1.8 MiB
0.2.0 latest source/ R- mmibain_0.2.0.tar.gz 1.8 MiB
0.2.0 2026-04-26 source/ R- mmibain_0.2.0.tar.gz 1.8 MiB
0.2.0 2026-04-23 source/ R- mmibain_0.2.0.tar.gz 1.8 MiB
0.2.0 2026-04-09 windows/windows R-4.5 mmibain_0.2.0.zip 1.8 MiB
0.2.0 2025-04-20 source/ R- mmibain_0.2.0.tar.gz 1.8 MiB

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