mmiCATs (version 0.2.0)

mmiCATs: Set Up CATs Analysis in Shiny Application

Description

This function creates a Shiny application for performing CATs (Cluster-Adjusted t-statistics) analysis. It provides a user interface for uploading a CSV file, specifying the model and additional arguments, and running the analysis. The output includes variable selection, GLM (Generalized Linear Model) summary, and results of the CATs analysis.

Usage

mmiCATs()

Value

A Shiny app object which can be run to start the application.

Details

The application allows the user to upload a dataset, specify a GLM model and additional arguments, and run CATs analysis. The UI consists of various input elements like file upload, text input, numeric input, and action buttons. The server part handles the data processing, model fitting, and execution of the CATs analysis. The application outputs include the list of variables, GLM model summary, and the results from the CATs analysis.

References

Esarey J, Menger A. Practical and Effective Approaches to Dealing With Clustered Data. Political Science Research and Methods. 2019;7(3):541-559. doi:10.1017/psrm.2017.42

Examples

# To run the Shiny app
if(interactive()){
  mmiCATs()
}