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'.

Version: 0.1.1
Imports: bain, broom, car, e1071, igraph, lavaan, mmcards, psych, shiny, shinythemes
Suggests: testthat (≥ 3.0.0)
Published: 2023-11-08
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:

Reference manual: mmibain.pdf

Downloads:

Package source: mmibain_0.1.1.tar.gz
Windows binaries: r-devel: mmibain_0.1.1.zip, r-release: mmibain_0.1.1.zip, r-oldrel: mmibain_0.1.1.zip
macOS binaries: r-release (arm64): mmibain_0.1.1.tgz, r-oldrel (arm64): mmibain_0.1.1.tgz, r-release (x86_64): mmibain_0.1.1.tgz

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