Package index
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descriptive_table() - Descriptive Summary Table for Study Characteristics (User-Friendly)
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dissect() - Dissect a Dataset Before Regression
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uni_reg() - Univariate regression (Odds, Risk, or Rate Ratios)
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multi_reg() - Multivariable Regression (Adjusted Odds, Risk, or Rate Ratios)
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stratified_uni_reg() - Performs univariate regression for each exposure on a binary, count, or continuous outcome, stratified by a specified variable. Produces a stacked `gtsummary` table with one column per stratum, along with underlying models and diagnostics.
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stratified_multi_reg() - Stratified Multivariable Regression (Adjusted OR, RR, IRR, or Beta)
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select_models() - Stepwise Model Selection with Evaluation Metrics
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check_collinearity() - Check Collinearity Using VIF for Fitted Models
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check_convergence() - Check Convergence for a Regression Model
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identify_confounder() - Identify Confounders Using the Change-in-Estimate Method
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interaction_models() - Compare Models With and Without Interaction Term
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modify_table() - Modify Regression Table Labels and Layout
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save_table() - Save a Single Regression Table
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save_docx() - Save Multiple Tables and Plots to a Word Document
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merge_tables() - Merge Multiple gtsummary Tables (Descriptive, Univariate, Multivariable)
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plot_reg() - Visualize a Regression Model as a Forest Plot
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plot_reg_combine() - Side-by-Side Forest Plots: Univariate vs Multivariable
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save_plot() - Save a Single Plot
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data_PimaIndiansDiabetes - PimaIndians2 Diabetes Dataset
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data_gt_quin - Student Absenteeism in Rural Schools
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data_birthwt - Birth Weight Data
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data_epilepsy - Epilepsy Treatment and Seizure Counts
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data_infertility - Infertility Matched Case-Control Study
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data_lungcancer - Lung Cancer Trial Data