| mmibain {mmibain} | R Documentation |
mmibain Shiny App
Description
The user can upload CSV data; choose a model engine (lm, t_test, lavaan); specify the formula, variables, or model; and provide additional arguments. Once the model is fitted, the app allows for setting up hypotheses for evaluation. Upon running the analysis, it displays the results of the Bayesian Informative Hypotheses Evaluation.
Usage
mmibain()
Details
This function launches a Shiny app that facilitates a user-friendly interface
for setting up and running a Bayesian Informative Hypotheses Evaluation using
the bain package.
The app's UI consists of a sidebar for user inputs and a main panel
for displaying available variables, model terms, and analysis results. The app
relies on the bain package for analysis.
Value
This function returns a running instance of the Shiny app. Interact with the app through the browser or the RStudio Viewer pane.
UI Components
Data upload (CSV format).
Engine selection (lm, t_test, lavaan).
Model input based on chosen engine.
Additional arguments for statistical model function.
Action button to fit the model.
Hypotheses input.
Fraction input for the
bainfraction parameter.Option to evaluate hypotheses with respect to standardized regression coefficients.
Confidence interval input.
Seed input for reproducibility.
Action button to run the Bayesian Informative Hypotheses Evaluation.
References
Hoijtink, H., Mulder, J., van Lissa, C., & Gu, X. (2019). A tutorial on testing hypotheses using the Bayes factor. Psychological methods, 24(5), 539–556. doi:10.1037/met0000201
See Also
Examples
if(interactive()){
mmibain()
}