mmibain
0.2.0Bayesian Informative Hypotheses Evaluation Web Applications
Overview
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'.
Install
Health
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- NOTE2026-06-090 OK · 13 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-06-080 OK · 12 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- NOTE2026-03-103 OK · 11 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
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Code & Tests
Test coverage
Line coverage
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Expression
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Tests / Examples
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Functions
15 12 exported
Complexity
8.6 avg / 27 max
Call network
15 nodes / 11 edges
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Open call graph →Lowest coverage
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People & History
2 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- 0.2.0Latest
- RR 4.4.0 released · 2024-04-24
- 0.1.12023-11-08
- RR 4.3.0 released · 2023-04-21
Package metadata
- First published
- 2023-11-08
- Total releases
- 2 / 3 yrs
- License
- MIT + file LICENSE OSI
- Download size
- not tracked yet
- Installed size
- not tracked yet
- With dependencies
- not tracked yet