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: |
0.2.0 |
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.