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 Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=mmibain to link to this page.
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