Launches an interactive Shiny application for performing stepwise regression analysis.
The application provides a user-friendly interface for data analysis, model selection,
and visualization of results.
Usage
StepRegShinyApp()
Arguments
Value
Launches the Shiny application in the user's default web browser.
Details
The application consists of two main steps:
Step 1: Data Preparation
Upload custom datasets or select from built-in examples
Configure data import settings (headers, separators, quotes)
View and modify variable types (numeric, factor, integer, character)
Generate exploratory data visualizations
Step 2: Model Analysis
Select regression type:
Linear regression
Logistic regression
Cox proportional hazards
Poisson regression
Gamma regression
Negative binomial regression
Choose dependent and independent variables
Specify stepwise selection strategy:
Forward selection
Backward elimination
Bidirectional elimination
Best subset selection
Set model selection criteria (AIC, BIC, etc.)
Configure significance levels for variable entry/removal
Generate comprehensive reports and visualizations
See Also
stepwise for the core stepwise regression function