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mmibain  

Bayesian Informative Hypotheses Evaluation Web Applications
View on CRAN: Click here


Download and install mmibain package within the R console
Install from CRAN:
install.packages("mmibain")

Install from Github:
library("remotes")
install_github("cran/mmibain")

Install by package version:
library("remotes")
install_version("mmibain", "0.2.0")



Attach the package and use:
library("mmibain")
Maintained by
Mackson Ncube
[Scholar Profile | Author Map]
First Published: 2023-11-08
Latest Update: 2023-11-08
Description:
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) . 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) . 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'.
How to cite:
Mackson Ncube (2023). mmibain: Bayesian Informative Hypotheses Evaluation Web Applications. R package version 0.2.0, https://cran.r-project.org/web/packages/mmibain. Accessed 11 Apr. 2025.
Previous versions and publish date:
0.1.1 (2023-11-08 21:00)
Other packages that cited mmibain R package
View mmibain citation profile
Other R packages that mmibain depends, imports, suggests or enhances
Complete documentation for mmibain
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