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'.
- Version0.2.0
- R versionunknown
- LicenseMIT
- LicenseLICENSE
- Needs compilation?No
- Vanbrabant and Rosseel (2020)
- Hoijtink, Mulder, van Lissa & Gu (2019)
- Last release05/23/2024
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Mackson Ncube
mightymetrika, LLC
Show author detailsRolesCopyright holder, fnd
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- Imports12 packages
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