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
Documentation
Team
Mackson Ncube
mightymetrika, LLC
Show author detailsRolesCopyright holder, fnd
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Last 30 days
This package has been downloaded 166 times in the last 30 days. Now we're getting somewhere! Enough downloads to populate a lively group chat. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 5 times.
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Last 365 days
This package has been downloaded 2,134 times in the last 365 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The day with the most downloads was May 26, 2024 with 34 downloads.
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Dependencies
- Imports12 packages
- Suggests1 package