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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'.
Version: | 0.2.0 |
Imports: | bain, broom, car, DT, e1071, ggplot2, igraph, lavaan, mmcards, psych, shiny, shinythemes |
Suggests: | testthat (≥ 3.0.0) |
Published: | 2024-05-23 |
DOI: | 10.32614/CRAN.package.mmibain |
Author: | Mackson Ncube [aut, cre], mightymetrika, LLC [cph, fnd] |
Maintainer: | Mackson Ncube <macksonncube.stats at gmail.com> |
BugReports: | https://github.com/mightymetrika/mmibain/issues |
License: | MIT + file LICENSE |
URL: | https://github.com/mightymetrika/mmibain |
NeedsCompilation: | no |
Materials: | README |
CRAN checks: | mmibain results |
Reference manual: | mmibain.pdf |
Package source: | mmibain_0.2.0.tar.gz |
Windows binaries: | r-devel: mmibain_0.2.0.zip, r-release: mmibain_0.2.0.zip, r-oldrel: mmibain_0.2.0.zip |
macOS binaries: | r-release (arm64): mmibain_0.2.0.tgz, r-oldrel (arm64): mmibain_0.2.0.tgz, r-release (x86_64): mmibain_0.2.0.tgz, r-oldrel (x86_64): mmibain_0.2.0.tgz |
Old sources: | mmibain archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.