gtregression • gtregression

Function Overview

The gtregression package provides regression modeling, diagnostics, plots, and reporting tools designed for usability and accessibility. Here’s a summary of its core functions: ### Descriptive & Compatibility Tools

Function Name	Purpose
`descriptive_table()`	Summarise exposures by outcome groups
`dissect()`	Check outcome-exposure compatibility

Regression Functions - Fit univariate and multivariable models

Function Name	Purpose
`uni_reg()`	Univariable regression (OR/RR/IRR/β)
`multi_reg()`	Multivariable regression

Regression Functions by stratifier

Function Name	Purpose
`stratified_uni_reg()`	Stratified univariable regression
`stratified_multi_reg()`	Stratified multivariable regression

Model Diagnostics & Selection

Function Name	Purpose
`check_convergence()`	Evaluate model convergence and max fitted values
`select_models()`	Stepwise model selection (AIC/BIC/adjusted R²)

Confounding & Interaction

Function Name	Purpose
`identify_confounder()`	Confounding assessment via % change or MH method
`interaction_models()`	Compare models with and without interaction terms

Plots & Exports

Function Name	Purpose
`plot_reg()`	Forest plot for a single regression model
`plot_reg_combine()`	Side-by-side forest plots for uni/multi models
`modify_table()`	Customize column labels or output structure
`save_table()`	Export table to `.html`, `.csv`, `.docx`
`save_docx()`	Save table as Word document (`.docx`)
`save_plot()`	Save plot as `.png`, `.pdf`, etc.
`merge_tables()`	Combine descriptive and regression tables